{"644838":{"#nid":"644838","#data":{"type":"news","title":"New Chapter Aims to Increase Equity in High Performance Computing","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026rsquo;s high-performance computing (HPC) mission is expanding with its latest initiative: The launch of its very own\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/whpcgt\/\u0022\u003EWomen in High Performance Computing\u003C\/a\u003E\u0026nbsp;(WHPC) chapter.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom observing binary black holes to\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/641385\/gordon-bell-finalist-uses-supercomputing-connect-dots\u0022\u003Esynthesizing all of the work in the largest publication journal\u003C\/a\u003E, HPC processes the world\u0026rsquo;s data and attempts to answer science\u0026rsquo;s largest problems. Despite this field\u0026rsquo;s rapid growth and acute use in problem solving, the gap in representation for those in the community remains apparent. This is why WHPC\u0026rsquo;s international mission to enhance equity, inclusion, and access for women and minorities to the field of HPC is so critical.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, Georgia Tech awards more engineering degrees to women than any other institution in the country. As HPC represents the intersection of engineering and computing, carrying forward the WHPC mission to promote, build, and leverage a diverse and inclusive HPC community is a natural next step for Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis next step is also complimented by several high-profile initiatives launched over the past few years including the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/629130\/hive-supercomputer-makes-its-debut\u0022\u003Eunveiling of a $5.3 million HPC system known as the Hive supercomputer\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our geography and history provide a unique context for engaging in diversity, equity, and inclusion efforts given the racial and ethnic diversity of our broader community around Georgia Tech,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ELorna Rivera,\u003C\/strong\u003E\u0026nbsp;research scientist and founding WHPC member.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Georgia Tech chapter\u0026rsquo;s primary goal is to provide a platform for all HPC researchers \u0026ndash; regardless of gender, area of study, and level of expertise. The chapter\u0026rsquo;s main drivers for this goal include:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003EHelping students toward HPC professional career paths\u003C\/li\u003E\r\n\t\u003Cli\u003EProviding classroom HPC resources for teachers\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EOffering HPC consulting to teachers\u003C\/li\u003E\r\n\t\u003Cli\u003EInvolving industry partners on real-world projects\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThe chapter aims to achieve these goals by engaging researchers from across academic institutions including Georgia Tech, Atlanta\u0026rsquo;s Historically Black Colleges and Universities, minority serving institutions, and others interested in learning more, or providing support for HPC research.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We believe that by increasing exposure as well as access to resources for teaching through student-run seminars, workshops, online classes offered by GT\u0026rsquo;s Partnership for an Advanced Computing Environment (PACE), and mentorship efforts, we can build a more diverse, equitable, and inclusive supercomputing community,\u0026rdquo; said\u0026nbsp;\u003Cstrong\u003ENeil Bright\u003C\/strong\u003E, PACE Associate Director of Research Cyberinfrastructure.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe WHPC will host a public event to celebrate its launch on March 26 from 2-3 p.m. EST.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event will feature some of\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/whpcgt\/62-2\/\u0022\u003EHPC\u0026rsquo;s heavy hitters from across the country\u003C\/a\u003E. This list includes high-profile speakers\u0026nbsp;experienced in navigating the world of HPC, passionate about building equity in this arena, and enthusiastic about sharing their professional journey.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/bpxvjcvk\u0022\u003ERegister for the event here!\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech launches a Women in High Performance Computing chapter."}],"uid":"34540","created_gmt":"2021-03-01 20:18:13","changed_gmt":"2021-03-01 20:21:46","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-03-01T00:00:00-05:00","iso_date":"2021-03-01T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"644827":{"id":"644827","type":"image","title":"WHPC Logo","body":null,"created":"1614627076","gmt_created":"2021-03-01 19:31:16","changed":"1614627076","gmt_changed":"2021-03-01 19:31:16","alt":"WHPC logo","file":{"fid":"244830","name":"WHPC_chapter.png","image_path":"\/sites\/default\/files\/images\/WHPC_chapter.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/WHPC_chapter.png","mime":"image\/png","size":32397,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/WHPC_chapter.png?itok=6ka1k7J-"}}},"media_ids":["644827"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"183253","name":"WHPC"},{"id":"4305","name":"cse"},{"id":"109","name":"Georgia Tech"},{"id":"129151","name":"chapter"},{"id":"973","name":"women"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"643094":{"#nid":"643094","#data":{"type":"news","title":"Team Phoenix Takes Home a Top Ranking in Premier HPC Competition","body":[{"value":"\u003Cp\u003EA group of undergraduate students from Georgia Tech, dubbed\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/team-phoenix\/\u0022\u003ETeam Phoenix,\u003C\/a\u003E\u0026nbsp;has claimed the third-highest overall score in the premier\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/2020\/11\/14\/scs-first-virtual-student-cluster-competition-concludes-with-teams-greatly-expanding-their-knowledge-of-running-hpc-workloads-in-the-cloud\/\u0022\u003Ehigh-performance computing (HPC) student competition\u003C\/a\u003E\u0026nbsp;of 2020.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/studentssc\/student-cluster-competition\/\u0022\u003EStudent Cluster Competition\u003C\/a\u003E\u0026nbsp;(SCC) is an immersive 72-hour HPC challenge held as part of the\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/\u0022 target=\u0022_blank\u0022\u003ESupercomputing Conference Series (SC)\u003C\/a\u003E. SCC\u0026nbsp;presents undergraduate students with real-world scientific workloads, a series of benchmarks, and even a mystery challenge to overcome.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/641087\/high-performance-computing-all-everywhere\u0022\u003E\u003Cstrong\u003E[Related News: High-Performance Computing for All, Everywhere]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis achievement marks just the second time that a Georgia Tech team was accepted to the competition. Despite a Georgia Tech group not competing since 2017, this year\u0026rsquo;s challengers were prepped and ready to become the only team outside of China to place in the top three of 19 competing organizations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The success of Georgia Tech\u0026#39;s SC20 Student Cluster Competition team was a thrill to witness. We feel strongly about providing students with opportunities to experience HPC. Our strategic partners from industry and national labs tell us demand for HPC skills continues to rise and initiatives like the SCC help cultivate interest in HPC careers,\u0026rdquo; said Team Phoenix coach and\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Research Technologist\u0026nbsp;\u003Cstrong\u003EWill Powell.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETeam Phoenix\u0026rsquo;s student competitors include computer science undergraduates\u003Cstrong\u003E\u0026nbsp;Sudhanshu Agarwal, Albert Chen, Aman Jain, Ali Kazmi, Nicole Prindle,\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EMarissa Sorkin.\u003C\/strong\u003E\u0026nbsp;This team of six was selected from a Spring 2020\u0026nbsp;\u003Ca href=\u0022https:\/\/www.vip.gatech.edu\/\u0022\u003EVertically Integrated Project\u003C\/a\u003E\u0026nbsp;(VIP) course focused on using HPC systems and applications.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVIP instructors\u0026nbsp;\u003Cstrong\u003ERich Vuduc, Aaron Jezghani, Will Powell,\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EJeff Young\u003C\/strong\u003E\u0026nbsp;helped lead the group along with CSE graduate student\u0026nbsp;\u003Cstrong\u003EVijay Thakkar,\u003C\/strong\u003E\u0026nbsp;who served as the team mentor.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESupported by the VIP program and the\u0026nbsp;leadership of the\u0026nbsp;five coaches, the students engaged in the long-term, large-scale project that took nearly a year of planning to achieve before the competition had even started.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of this initial planning period was used to identify and recruit sponsorship for the team\u0026rsquo;s machine configuration. Vendor partner Penguin Computing answered the call by providing hardware support and sponsorship of Team Phoenix, while Intel and NVIDIA both shared expertise related to application optimization and HPC tools.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDue to Covid-19, the competition was moved to the Microsoft Azure cloud to accommodate remote participation, becoming the first-ever Virtual Student Cluster Competition of the Supercomputing Conference series.\u0026nbsp;Undeterred by the change in format, the students exhibited mastery of both HPC and cloud skills while building\u0026nbsp;virtual clusters, learning scientific applications, and applying optimization techniques for chosen cloud configurations.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs part of the competition\u0026rsquo;s new parameters, each team received an initial $3,200 debit balance for the use of cloud resources. Benchmark results were then compared to calculate standings followed by a $500 boost 12 hours before the competition\u0026rsquo;s end which presented new opportunities for teams looking to maximize their respective scores. In total, all 19 teams used a collective $61,300 of the $70,300 budget, demonstrating not only effective HPC skills but also effective managerial and budgeting skills as well.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Team Phoenix was supportive of one-another, competitive, clever, resourceful, and focused. It was a marvelous adventure. The end result is something all Yellow Jackets can be proud of and the team itself will never forget. We now have a reputation to defend and look forward to embarking on the adventure again in 2021,\u0026rdquo; said Powell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWatch the team\u0026rsquo;s daily interviews at the link below.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/youtube.com\/playlist?list=PLl2dezBNo_BksHs_emoprAjYc-ZEbr-V_\u0022\u003E\u003Cstrong\u003Ehttps:\/\/youtube.com\/playlist?list=PLl2dezBNo_BksHs_emoprAjYc-ZEbr-V_\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech\u0027s undergraduate team places third in one of the world\u0027s top high performance computing competitions"}],"uid":"34540","created_gmt":"2021-01-19 20:16:27","changed_gmt":"2021-01-20 14:22:11","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-01-19T00:00:00-05:00","iso_date":"2021-01-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"643093":{"id":"643093","type":"image","title":"Team Phoenix ","body":null,"created":"1611087176","gmt_created":"2021-01-19 20:12:56","changed":"1611087176","gmt_changed":"2021-01-19 20:12:56","alt":"A screenshot of students on Microsoft Teams","file":{"fid":"244195","name":"EmVdZO8XcAIOCUg.jpeg","image_path":"\/sites\/default\/files\/images\/EmVdZO8XcAIOCUg.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/EmVdZO8XcAIOCUg.jpeg","mime":"image\/jpeg","size":379827,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/EmVdZO8XcAIOCUg.jpeg?itok=9iA1ptnO"}}},"media_ids":["643093"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"3427","name":"High performance computing"},{"id":"702","name":"hpc"},{"id":"167322","name":"supercomputing"},{"id":"177314","name":"parallel computing"},{"id":"1071","name":"Undergraduates"},{"id":"186743","name":"VIP course"},{"id":"4305","name":"cse"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"641385":{"#nid":"641385","#data":{"type":"news","title":"Gordon Bell Finalist Uses Supercomputing to Connect the Dots Across Academic Bodies of Work","body":[{"value":"\u003Cp\u003EInformation overload is all too common in the modern world, particularly in academia. With millions of articles and academic papers, connecting concepts throughout bodies of work is no simple task.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, a breakthrough created by researchers from Georgia Tech and Oak Ridge National Laboratory (ORNL) presents a way to link the millions upon millions of data points found throughout volumes of information.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/www.zenodo.org\/record\/3980252#.X5hTuS2z1N0\u0022\u003Epaper outlining this breakthrough method\u003C\/a\u003E\u0026nbsp;has been nominated for the 2020 Gordon Bell Prize, which awards outstanding achievements in high-performance (HPC) computing with an emphasis on applying HPC to applications across science, engineering, and large-scale data analytics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECo-authored by School of Computational Science and Engineering (CSE) Master\u0026rsquo;s degree student\u0026nbsp;\u003Cstrong\u003EVijay Thakkar\u003C\/strong\u003E\u0026nbsp;and Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u0026nbsp;and ORNL researchers\u0026nbsp;\u003Cstrong\u003EPiyush Sao, Hao Lu, Drahomira Herrmannova, Robert Patton, Thomas Patok, Ramakrishnan Kannan\u003C\/strong\u003E\u0026nbsp;this work presents a novel data mining approach to analyze large corpora of scholarly publications with HPC to discover how concepts relate to one another.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In order to keep pushing the exponential progress of science, we need some level of analysis of different research papers so we can synthesize that into digestible information,\u0026rdquo; said Thakkar, who currently works in the\u0026nbsp;\u003Ca href=\u0022http:\/\/hpcgarage.org\/wp\/\u0022\u003EHPC Garage research lab.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThakkar joined the HPC Garage, led by Vuduc, one year ago when pursuing research in sparse linear algebra \u0026ndash; Vuduc\u0026rsquo;s area of expertise. However, a few weeks into the independent study, Vuduc approached Thakaar about an opportunity to work with the ORNL team as a CUDA developer. Since then, Thakkar\u0026rsquo;s research emphasis has focused on facilitating this robust project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;To me, this project boils down to a very important issue which is that as technological progress becomes faster and faster, for each individual scientist, there is too much information out there to distill into something that is comprehensible. Making connections between different research groups gets harder and harder to do, stalling the progress science can make,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this initial project, the team is focusing on processing the articles across\u0026nbsp;\u003Ca href=\u0022https:\/\/pubmed.ncbi.nlm.nih.gov\/\u0022\u003EPubMed\u003C\/a\u003E\u0026nbsp;as a particular case study. PubMed is a database of biomedical literature maintained by the National Library of Medicine and currently hosts approximately 18 million papers.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBy mining key terms in the papers\u0026rsquo; abstracts, the team is able to turn each term into a point, or vertex, in a large-scale graph.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A term might be the name of a drug or a disease or a symptom, for instance. When two terms appear in the same paper, that means we know there is a direct relationship between them, which becomes an edge in the graph,\u0026rdquo; said Vuduc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBut just because two terms are not directly linked does not mean they are unrelated; it only means they are not known yet. To find these as-yet undiscovered connections, the idea is to look for short paths that bridge two terms.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVuduc said, \u0026ldquo;A useful analogy might be the following: Suppose you are driving from point A to point B. Maybe you know one path to get there. But what if there is a better, shorter way? That\u0026rsquo;s what this method does. Points are these biological or medical terms or concepts, and road segments are the papers that correspond to known routes. It\u0026rsquo;s the unknown routes that are interesting.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese paths are analyzed using a shortest path algorithm referred to as DSNAPSHOT. While shortest path algorithms are not a new concept and are fairly common, the scale at which this particular shortest path algorithm is applied is unheard of.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If you think about it, six million papers may seem like a small number, but the size of the problem is not really six million. It\u0026rsquo;s six million times six million because in the worst-case scenario, each paper can have at least one connection to every paper in the database and that is where the complexity of the problem comes from,\u0026rdquo; said Thakkar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, according to Thakkar, the problem is more complex and more difficult to solve than this example \u0026ndash; even with today\u0026rsquo;s supercomputers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It\u0026rsquo;s a much harder problem because you\u0026rsquo;re visiting each vertex once making this a V\u003Csup\u003E3\u003C\/sup\u003E\u0026nbsp;problem. At the scales we are talking about, this is 18 million times 18 million times 18 million and those orders of magnitude add up really quickly, which is why we need something like the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.olcf.ornl.gov\/summit\/\u0022\u003ESummit Supercomputer\u003C\/a\u003E\u0026nbsp;to crunch these numbers,\u0026rdquo; Thakkar said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor the team\u0026rsquo;s first finalist run of 4 million papers it took 30 minutes to compute using over twenty-four thousand GPUs of the Summit machine. What\u0026rsquo;s more, the time this type of problem will require to solve will continue to grow in a cubic manner with each paper added to PubMed database.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/research\/\u0022\u003Eannouncement of the Gordon Bell Prize winner\u003C\/a\u003E\u0026nbsp;will be made at the 2020 Supercomputing Conference award ceremony held, Nov. 19 at 2 p.m. EST.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Graduate Student Vijay Thakkar and Associate Professor Rich Vuduc helps define cutting-edge high performance computing process to connect concepts across bodies of work"}],"uid":"34540","created_gmt":"2020-11-17 18:51:47","changed_gmt":"2020-11-17 18:52:14","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-11-17T00:00:00-05:00","iso_date":"2020-11-17T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"641384":{"id":"641384","type":"image","title":"DNSAPSHOT","body":null,"created":"1605638868","gmt_created":"2020-11-17 18:47:48","changed":"1605638868","gmt_changed":"2020-11-17 18:47:48","alt":"DSNAPSHOT: 4x4 quadrant showing papers and concepts","file":{"fid":"243730","name":"Screen Shot 2020-11-17 at 1.46.48 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202020-11-17%20at%201.46.48%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202020-11-17%20at%201.46.48%20PM.png","mime":"image\/png","size":13586,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202020-11-17%20at%201.46.48%20PM.png?itok=dvqUcRSH"}}},"media_ids":["641384"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"},{"id":"186293","name":"Vijay Thakkar"},{"id":"46001","name":"Rich Vuduc"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"641087":{"#nid":"641087","#data":{"type":"news","title":"High-Performance Computing for All, Everywhere","body":[{"value":"\u003Cp\u003EAs big data dominates our markets, the need to assemble and analyze data efficiently has driven high-Performance Computing (HPC) out of research silos and into many public and private enterprises.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/\u0022\u003ESupercomputing Conference\u003C\/a\u003E\u0026nbsp;(SC), held from Nov. 9 to 19, is the premier event for this rapidly growing field. Mathematicians, engineers, and developers come together to present the most groundbreaking HPC research, and each year, the Georgia Tech name is one of the leading names in those presentations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough it is being hosted virtually, this year is no different for SC20 presentations. With\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/research\/\u0022\u003Eseveral papers, awards, and workshops,\u003C\/a\u003E\u0026nbsp;Georgia Tech, represented by the School of Computational Science and Engineering (CSE), Partnership for Advanced Computing Environment\u0026nbsp;(PACE), School of Computer Science (SCS), and the Georgia Tech Research Institute,\u0026nbsp;is leading charge in the HPC discussion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, Georgia Tech\u0026rsquo;s SC20 proceedings includes two notable awards.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESCS Chair\u0026nbsp;\u003Cstrong\u003EVivek Sarkar\u003C\/strong\u003E\u0026nbsp;is being recognized with the\u0026nbsp;\u003Ca href=\u0022https:\/\/awards.acm.org\/kennedy\u0022\u003EACM-IEEE CS Ken Kennedy Award\u003C\/a\u003E, Nov. 16. Sarkar\u0026rsquo;s recognition honors his leadership in several areas including foundational technical contributions to programmability and productivity.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E[Related News:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/640112\/acmieee-recognizes-chairs-research-service-computer-science-community\u0022\u003E\u003Cstrong\u003EACM\/IEEE Recognizes Chair\u0026#39;s Research, Service to Computer Science Community\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E]\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE Ph.D. student\u0026nbsp;\u003Cstrong\u003EVijay Thakkar\u003C\/strong\u003E\u0026nbsp;and Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u0026nbsp;\u003C\/strong\u003Eare being recognized with a\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/awards\/#schedule\u0022\u003EGordon Bell Prize nomination\u003C\/a\u003E\u0026nbsp;for their paper,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.zenodo.org\/record\/3980252#.X6H-YC2z10t\u0022\u003E\u003Cem\u003EScalable Knowledge Graph Analytics at 136 PetaFLOPS\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E.\u003C\/em\u003E\u0026nbsp;Their work, developed with a team from Oak Ridge National Laboratory, is motivated by data mining large-scale bodies of scholarly publications to discover concepts that relate to one another. The\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/awards\/#schedule\u0022\u003Eannouncement of the Gordon Bell Prize winner for 2020\u003C\/a\u003E\u0026nbsp;will be held, Nov. 19 from 2 to 2:30 p.m. EST.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn invited talk by SCS and School of Electrical and Computer Engineering Professor\u0026nbsp;\u003Cstrong\u003ETom Conte\u003C\/strong\u003E\u0026nbsp;is another notable agenda item. Conte\u0026rsquo;s talk,\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=inv110\u0026amp;sess=sess298\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003EHPC After Moore\u0026rsquo;s Law\u003C\/em\u003E\u003C\/a\u003E, discusses the post-Moore computing era as seen from the\u0026nbsp;\u003Ca href=\u0022https:\/\/rebootingcomputing.ieee.org\/\u0022\u003EIEEE Rebooting Computing Initiative\u003C\/a\u003E\u0026nbsp;perspective and presents promising technologies to keep a close eye on.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExcitingly, Georgia Tech students are also participating in a virtual\u0026nbsp;\u003Ca href=\u0022https:\/\/sc20.supercomputing.org\/program\/studentssc\/student-cluster-competition\/\u0022\u003Estudent cluster competition\u003C\/a\u003E\u0026nbsp;(VSCC) this year. While this event hosts the non-stop 72-hour track of a traditional hackathon, the VSCC separates itself from the rest in that the students prepare up to 6 months in advance for the competition.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Georgia Tech team,\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/team-phoenix\/\u0022\u003ETeam Phoenix\u003C\/a\u003E, with sponsorship from vendor partner\u0026nbsp;\u003Ca href=\u0022https:\/\/www.penguincomputing.com\/\u0022 target=\u0022_blank\u0022\u003EPenguin Computing,\u003C\/a\u003E\u0026nbsp;will\u0026nbsp;compete with students from around the globe to complete a set of benchmarks and real-world scientific workloads from Nov. 8 to 11. Each team is tasked to design and build virtual clusters in the Microsoft Azure cloud, learn scientific applications, and apply optimization techniques for their chosen cloud configurations. Daily video interviews with the team can be\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/events\/\u0022\u003Ewatched here.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile the conference\u0026rsquo;s papers, presentations, and competitions are underway, this extraordinary year has required extraordinary efforts to transcend the physical conference barriers. With its first ever fully virtual format, SC20\u0026rsquo;s platform is bringing the HPC discussion into the hands of more than ever before.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo capitalize on this opportunity of enhancing equity in HPC, Georgia Tech is hosting special virtual programming to run parallel to the SC20 agenda. This programming includes\u0026nbsp;a\u0026nbsp;\u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtsc20\/gtsc20-virtual-party\/\u0022\u003Evirtual party and poster show\u003C\/a\u003E\u0026nbsp;that is open to the public \u0026ndash; while space lasts \u0026ndash; and a 360-degree data center tour.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe virtual data center tour will be featured on the\u0026nbsp;\u003Ca href=\u0022https:\/\/pace.gatech.edu\/\u0022\u003EPACE website\u003C\/a\u003E\u0026nbsp;and allows users to navigate through Georgia Tech\u0026rsquo;s premier data center housed at the Coda Building. While walking through the data center, viewers will see the Institute\u0026rsquo;s two premier HPC resources, the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/629130\/hive-supercomputer-makes-its-debut\u0022\u003EHive supercomputer\u003C\/a\u003E\u0026nbsp;and the newly installed Phoenix cluster.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech presents leading high-performance computing research and events at this year\u0027s Supercomputing Conference"}],"uid":"34540","created_gmt":"2020-11-06 19:42:57","changed_gmt":"2020-11-06 19:43:17","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-11-06T00:00:00-05:00","iso_date":"2020-11-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"641086":{"id":"641086","type":"image","title":"GT@SC20 logo","body":null,"created":"1604691617","gmt_created":"2020-11-06 19:40:17","changed":"1604691617","gmt_changed":"2020-11-06 19:40:17","alt":"GT@SC20 Logo","file":{"fid":"243631","name":"GT@SC20 Logo.jpg","image_path":"\/sites\/default\/files\/images\/GT%40SC20%20Logo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/GT%40SC20%20Logo.jpg","mime":"image\/jpeg","size":274270,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/GT%40SC20%20Logo.jpg?itok=iFTM2HBa"}}},"media_ids":["641086"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"},{"id":"167322","name":"supercomputing"},{"id":"186227","name":"SC20"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003Ekristen.perez@cc.gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"640205":{"#nid":"640205","#data":{"type":"news","title":"New CRNCH Co-Director Tackles Post-Moore Computing with HPC in Mind","body":[{"value":"\u003Cp\u003E\u0026ldquo;Everything in hardware might change, so what does that mean for everything on top?\u0026rdquo; asked\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVuduc is the newly appointed co-director of the\u0026nbsp;\u003Ca href=\u0022http:\/\/crnch.gatech.edu\/\u0022\u003ECenter for Research into Novel Computing Hierarchies\u003C\/a\u003E(CRNCH), a unit built on the mission of reexamining and building computing technologies for the post-Moore computing era. He is succeeding CRNCH Co-Director\u0026nbsp;\u003Cstrong\u003EVivek Sarkar\u003C\/strong\u003E\u0026nbsp;and will direct the center alongside\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scs.gatech.edu\/\u0022\u003ESchool of Computer Science\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/\u0022\u003ESchool of Electrical and Computer Engineering\u003C\/a\u003E\u0026nbsp;Professor\u0026nbsp;\u003Cstrong\u003ETom Conte\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;CRNCH was conceived as a center for post-Moore computing that spans the entire computing stack, including hardware, software, and algorithms. Rich\u0026#39;s expertise in high-performance computing (HPC) algorithms and performance engineering will further contribute to CRNCH\u0026#39;s success in this broad vision,\u0026rdquo; said\u0026nbsp;Sarkar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPost-Moore Computing\u0026rsquo;s Challenges\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In HPC especially, we are in a crazy time right now. Basically, for the last 50 years, we got a free ride. Computers got faster every year, and this transformed entire industries,\u0026rdquo; said Vuduc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe improvements Vuduc is referring to, came about from the ability to make transistors smaller each year, allowing for faster computing year-over-year. The problem computing is facing now is that the scientific community does not know how to make transistors any smaller, and there is no defined way to move forward.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Vuduc, \u0026ldquo;It\u0026rsquo;s an incredibly fertile time to be exploring all kinds of wacky, very radical new ways of thinking about computing systems and how we might build them. And CRNCH has been investigating these questions since it was launched in 2016.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBringing a Fresh Perspective to the Center\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom the way algorithms are designed to the way machines are programmed, software is still being built around the 1970s concept of a general-purpose computer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A lot of people are working to figure out what the physical and logical form of the computer is going to look like in the future. But a related question is, \u0026lsquo;What is the thing that is going to run on top?\u0026rsquo;\u0026rdquo; said Vuduc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In my joining CRNCH, I hope to think a lot more about those kinds of issues. That\u0026rsquo;s why I think this new role is exciting.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBuilding a CRNCH Community\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn his new role, Vuduc wants to launch projects with the goal of developing algorithms and applications to run on these hypothetical future systems. However, his long-term goals are considerably more community focused.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, he is hoping to excite a critical mass of people at Georgia Tech to begin thinking about the types of problems associated with post-Moore computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;From my point of view, the most exciting thing would be if we can bring new people on board, whether it be new faculty or students, to really think about these upper levels in the \u0026lsquo;computing stack.\u0026rsquo; What are the kinds of applications and algorithms that we might run on these future machines?\u0026rdquo; he said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"School of Computational Science and Engineering Professor Rich Vuduc is named co-direct of the Center for Research into Novel Computing Hierarchies"}],"uid":"34540","created_gmt":"2020-10-14 17:22:34","changed_gmt":"2020-10-14 18:02:34","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-10-14T00:00:00-04:00","iso_date":"2020-10-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"640206":{"id":"640206","type":"image","title":"Rich Vuduc_2020","body":null,"created":"1602697732","gmt_created":"2020-10-14 17:48:52","changed":"1602697732","gmt_changed":"2020-10-14 17:48:52","alt":"Headshot of man in collard shirt wearing glasses","file":{"fid":"243360","name":"rich vuduc_MG_0912[2].jpg","image_path":"\/sites\/default\/files\/images\/rich%20vuduc_MG_0912%5B2%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/rich%20vuduc_MG_0912%5B2%5D.jpg","mime":"image\/jpeg","size":2277380,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/rich%20vuduc_MG_0912%5B2%5D.jpg?itok=qGDkNK0p"}}},"media_ids":["640206"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"186036","name":"post-more computing"},{"id":"167010","name":"crnch"},{"id":"186037","name":"vuduc"},{"id":"702","name":"hpc"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"637352":{"#nid":"637352","#data":{"type":"news","title":"Georgia Tech Alum is Recognized for Outstanding Dissertation in High-Performance Computing","body":[{"value":"\u003Cp\u003EA\u0026nbsp;\u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Ph.D. alumnus has been selected for the prestigious (\u003Ca href=\u0022https:\/\/www.sighpc.org\/for-your-career\/dissertation-award\u0022\u003EACM) SIGHPC Dissertation Award\u003C\/a\u003E\u0026nbsp;for 2020.\u0026nbsp; The winning alum,\u0026nbsp;\u003Ca href=\u0022https:\/\/patflick.github.io\/\u0022\u003E\u003Cstrong\u003EPatrick Flick\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003E\u0026nbsp;is the first recipient in Georgia Tech history to receive the award which honors one outstanding doctoral dissertation focused on high-performance computing (HPC) research each year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe winning dissertation,\u0026nbsp;\u003Ca href=\u0022https:\/\/smartech.gatech.edu\/handle\/1853\/61257\u0022\u003E\u003Cem\u003EParallel and Scalable Combinatorial String Algorithms on Distributed Memory Systems\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E,\u003C\/em\u003E\u0026nbsp;offers a new approach to solve large-scale string and graph problems used throughout computational biology applications. The computational methods introduced in Dr. Flick\u0026rsquo;s work achieve efficient and scalable execution on large-scale distributed compute clusters, achieving solutions to increasingly larger problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EInspired by the advent of high-throughput DNA sequencing which enables generations of billions of reads per minute, and the growing need to find a computational approach that can keep pace, this research expands on prior theoretical approaches. The resulting algorithms and data structures implemented by Flick advance the state-of-the-art by providing improved theoretical complexity and better practical performance, while minimizing overall and per-node communication volume within a computer\u0026rsquo;s distributed memory architecture.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUltimately, these findings offer a more efficient method to represent, construct, and query data structures for large-scale and memory intensive applications in text processing, information retrieval, and computational biology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFlick joined CSE for his Ph.D. in 2014 under the guidance of CSE Professor and Interim Chair\u0026nbsp;\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Aluru, \u0026ldquo;Patrick\u0026#39;s Ph.D. work addresses some notoriously difficult problems in parallel string algorithms, and his dissertation gets it just right by providing both theoretical optimality and practical efficiency. His work, all published in top forums in the field, has lasting value. It is gratifying to see him win this year\u0026#39;s ACM SIGHPC Dissertation Award.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFlick defended his thesis in March 2019 and officially graduated the following May. He is now a software engineer at Google.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFlick\u0026rsquo;s previous successes include authoring the first paper used for the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.hpcwire.com\/2016\/03\/16\/sc16-explores-study-reproducibility-student-cluster-competition\/\u0022\u003EStudent Cluster Reproducibility Challenge at Supercomputing 2016\u003C\/a\u003E\u0026nbsp;and winning the\u0026nbsp;Best Student Paper Award at Supercomputing 2015.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESIGHPC is the ACM\u0026rsquo;s special interest group that focuses on providing a platform for high-performance computing (HPC) research and efforts internationally. The ACM SIGHPC Dissertation Award pulls from this professional society in an effort to highlight innovative and prolific research in the supercomputing and parallel processing fields.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe 2020 ACM SIGHPC Dissertation Award includes a $2,000 honorarium, travel support to the Supercomputing Conference, and an award plaque.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Alumnus Patrick Flick was awarded the ACM SIGHPC Dissertation Award"}],"uid":"34540","created_gmt":"2020-07-29 14:50:41","changed_gmt":"2020-07-29 14:52:32","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-07-29T00:00:00-04:00","iso_date":"2020-07-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"637350":{"id":"637350","type":"image","title":"Patrick Flick Headshot","body":null,"created":"1596033868","gmt_created":"2020-07-29 14:44:28","changed":"1596033868","gmt_changed":"2020-07-29 14:44:28","alt":"A selfie by Patrick Flick in front of the ocean","file":{"fid":"242448","name":"PatrickFlick-headshot.jpg","image_path":"\/sites\/default\/files\/images\/PatrickFlick-headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/PatrickFlick-headshot.jpg","mime":"image\/jpeg","size":658098,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/PatrickFlick-headshot.jpg?itok=hfsZb6Dv"}}},"media_ids":["637350"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"183054","name":"CHiPC"},{"id":"3427","name":"High performance computing"},{"id":"702","name":"hpc"},{"id":"28201","name":"Alum"},{"id":"101","name":"Award"},{"id":"3366","name":"dissertation"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"629914":{"#nid":"629914","#data":{"type":"news","title":"Helping Underserved Populations Through Evaluation: Q\u0026A with Lorna Rivera","body":[{"value":"\u003Cp\u003EEvery year, thousands of researchers flock to\u0026nbsp;\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/\u0022\u003ESupercomputing\u003C\/a\u003E\u0026nbsp;(SC), the leading conference for high-performance computing (HPC) research, to present best practices and findings in the HPC field. Groups focused on creating inclusive measures in the HPC community have been steadily growing over the past few years at SC, and Georgia Tech\u0026rsquo;s own\u0026nbsp;\u003Cstrong\u003ELorna Rivera\u003C\/strong\u003E\u0026nbsp;is a catalyst for several of these initiatives.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERivera is a research scientist at Georgia Tech\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/ceismc.gatech.edu\/\u0022\u003ECenter for Education Integrating Science, Mathematics, and Computing\u003C\/a\u003E\u0026nbsp;(CEISMC) and for the\u0026nbsp;\u003Ca href=\u0022https:\/\/womeninhpc.org\/\u0022\u003EWomen in High Performance Computing\u003C\/a\u003E\u0026nbsp;(WHPC).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer research for both of these programs helps aggregate and analyze data in meaningful ways to determine custom-tailored approaches to advance initiatives focused on minority or underserved groups.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAfter providing a booth talk detailing initiatives in CEISMC and WHPC during\u0026nbsp;\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/\u0022\u003ESC19\u003C\/a\u003E, the School of Computational Science and Engineering had the opportunity to discuss with Rivera updates on her latest efforts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/598783\/diversifying-hpc-community-qa-georgia-techs-lorna-rivera\u0022\u003E\u003Cstrong\u003E[Related News: Diversifying the HPC Community: Q\u0026amp;A with Georgia Tech\u0026rsquo;s Lorna Rivera]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EFor those unfamiliar, can you give a CEISMC from 30,000-foot view?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECEISMC connects Georgia Tech to surrounding K12 schools, focusing on underserved and minority areas, and works to move the needle in the state of Georgia to improve representation in the scientific areas of STEM and computing. It is led by\u0026nbsp;\u003Cstrong\u003EDr. Lizanne DeStefano\u003C\/strong\u003E\u0026nbsp;who has a reputation for not only pushing those programs but also in evaluating their effectiveness.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EA lot of what CEISMC does is focused on evaluation of these programs. Can you tell us a what this evaluation looks like and what you are looking for?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEvaluation can mean a lot of things and it differs from research, although you can do both research and evaluation. Evaluation differs in that you want to have a deep understanding of the context in which you are working. In research, you often want to wash out context because you want to be able to replicate things, and you can do that with evaluation too, they\u0026rsquo;re not completely separate boxes. But sometimes in evaluation, you study things not necessarily with the intention of replicating but because you want to understand the unique factors of that particular situation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EWhat kind of communities are you looking to serve or help enhance in your initiatives?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI personally try to always pay attention to those who are underserved in a particular community. I use an evaluation approach that accounts for what we look at in thirds. So, one third is focused on the quality of science being done, another third is focused on the way that science is being taught, and the remaining third is focused on the disadvantaged in that group that is being served. Then, in the middle, if you think about it like a Venn Diagram, those three come together and that is where you find the program and evaluation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more information about the approach, which was pioneered by CEISMC Executive Director\u003Cstrong\u003E\u0026nbsp;Lizanne DeStefano\u003C\/strong\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/ev.178\u0022\u003Eclick here.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EDoes this approach transcend or translate to your efforts with the WHPC program?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbsolutely! I am the director of research for Women in HPC and it\u0026rsquo;s an organization that started at the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.epcc.ed.ac.uk\/\u0022\u003EUniversity of Edinburgh\u0026rsquo;s EPCC\u003C\/a\u003E\u0026nbsp;\u0026nbsp;and it is now an international organization. My role with WHPC is to understand the unique experiences of women in the international HPC community. You may notice that women of color are extremely underrepresented in this community, so, I am particularly passionate about moving the needle in this space. It is very important to me and, the way that we can accomplish this is, yet again, by evaluation. The WHPC programs are all new and are being rolled out now, so I am in the initial phases of evaluating. We have the mentoring program, which I got to talk about today in the Georgia Tech booth, we have a fellowship program that we just started, and we have our first three fellows with us this year. Then we are looking to broaden and see what else we can do in this space while growing sustainably because we do not want to grow too fast.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EThis sounds like WHPC has a lot going on \u0026ndash; not to mention your first inaugural event is coming up! Can you tell us a little about it and what to expect?\u0026nbsp;\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe have our first\u0026nbsp;\u003Ca href=\u0022https:\/\/womeninhpc.org\/events\/summit-2020\u0022\u003EWomen in HPC Summit\u003C\/a\u003E\u0026nbsp;at the end of April and early May that is going to be held together with Simon Fraser University and will be held in Vancouver, Canada. We are very excited! There will be a series of technical talks, workshops, and tutorials. Sometimes, we hear from our members that they do not want to focus on the technical content and rather they want to focus on the experience of women, or vice versa and that they want to focus on the technical. We are hoping, now that we have our own event and are not limited to a one-day workshop, we can meet both of those needs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EIs there anything else you want to stress to people regarding the WHPC?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are interested in this topic, regardless of your gender, WHPC is for everybody. We need everybody involved and as many advocates as possible. Please don\u0026rsquo;t let the name turn anyone off, we are open to all and we want to make this a better space for everyone!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CESIMC Research Scientist Lorna Rivera discusses using evaluation as a means to help underserved populations, including minority groups and women in the high performance computing community."}],"uid":"34540","created_gmt":"2019-12-11 14:40:31","changed_gmt":"2019-12-11 14:51:44","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-12-11T00:00:00-05:00","iso_date":"2019-12-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"629915":{"id":"629915","type":"image","title":"Lorna Rivera at SC19","body":null,"created":"1576075829","gmt_created":"2019-12-11 14:50:29","changed":"1576075829","gmt_changed":"2019-12-11 14:50:29","alt":"Lorna Rivera sits on a white couch in front of a pale blue banner at SC\u002719 in the Georgia Tech booth.","file":{"fid":"239879","name":"lorna.jpg","image_path":"\/sites\/default\/files\/images\/lorna.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/lorna.jpg","mime":"image\/jpeg","size":1747138,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/lorna.jpg?itok=DunfOdV5"}}},"media_ids":["629915"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"183054","name":"CHiPC"},{"id":"167322","name":"supercomputing"},{"id":"183253","name":"WHPC"},{"id":"411","name":"CEISMC"},{"id":"176247","name":"Lorna Rivera"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"629130":{"#nid":"629130","#data":{"type":"news","title":"Hive Supercomputer Makes its Debut as Georgia Tech\u2019s Largest High-Performance Computing Resource in New State-of-the-Art Datacenter","body":[{"value":"\u003Cp\u003EGeorgia Tech now boasts a $5.3 million high-performance computing (HPC) system that is enabling data-driven discovery in data science, computational astrophysics, biology, chemistry, and materials science at the institute.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKnown as Hive, this newly operational supercomputer supports research for over 33 faculty, 54 research scientists and postdocs, 195 graduate students, and 56 undergraduate students from the colleges of Computing, Engineering, and Sciences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive was acquired by the Institute for Data Engineering and Science (IDEaS) through a $3.7 million \u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1828187\u0026amp;HistoricalAwards=false\u0022 target=\u0022_blank\u0022\u003ENational Science Foundation (NSF) Major Research and Instrumentation Program grant \u003C\/a\u003Eand a $1.6 million contribution by Georgia Tech in 2018.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/611216\/georgia-tech-award-equips-codas-data-center-new-supercomputer\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E[Related News: Georgia Tech Award Equips Coda\u0026rsquo;s Data Center with New Supercomputer]\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIDEaS Director and School of Computational Science and Engineering (CSE) Professor and Interim Chair Srinivas Aluru is the primary investigator on the grant. According to Aluru, \u0026ldquo;Hive allows us to solve\u0026nbsp;large scale of data-intensive problems and will be an asset to Georgia Tech for the next five years or so.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe supercomputer has over 100 trillion bytes of memory, 11,500 compute cores, and 2.5 quadrillion bytes of storage. To put it simply, this cluster, which delivers 0.7 petaflops of performance based on the \u003Ca href=\u0022https:\/\/www.top500.org\/project\/linpack\/\u0022 target=\u0022_blank\u0022\u003ELINPACK Benchmark\u003C\/a\u003E, is fast.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[VIDEO::https:\/\/youtu.be\/ZHV8fxzhlDw::aVideoStyle]\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocal and National Collaborations\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive represents several interdisciplinary, cross-institute collaborative efforts. One of these is the attachment of this supercomputer to the \u003Ca href=\u0022https:\/\/www.xsede.org\/\u0022 target=\u0022_blank\u0022\u003EExtreme Science and Engineering Discovery Environment\u003C\/a\u003E (XSEDE) program, which funds and interconnects supercomputers nationwide, enabling national collaborative use of this resource.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We have reserved about 20 percent capacity of the machine to support research activities of regional partners, minority-serving institutions, and others through the XSEDE Program,\u0026rdquo; Aluru said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;One particular segment that we are focusing on is supporting historically black colleges and universities (HBCUs) and minority institutions in or around Atlanta. We are also providing active training programs to bring faculty and students from these institutions on board to use high-performance computing,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrently, Morehouse College, Spelman College, and Clark Atlanta University all have research on the machine with the support of this program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGeorgia Tech\u0026rsquo;s HPC Future\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive made its official debut with a ribbon-cutting ceremony on Oct. 21 at the Coda datacenter. Georgia Tech Executive Vice President of Research Chouki Abdallah delivered opening remarks before attendees were invited for a private tour of the new facility and an up-close view of the Hive computer \u0026ndash; which featured newly-added blue LED lights across its many stacks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The institute is trying to come up with a long-term plan for high-performance computing, and this is a manifestation of our performance so far,\u0026rdquo; said Abdallah during the ceremony.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPart of this plan includes moving all of Georgia Tech\u0026rsquo;s computing services and the Office of Information Technology to the new data center by the end of the school year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESix Years in the Making\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHive\u0026rsquo;s existence represents roughly six years of planning and preparation across Georgia Tech units and several external organizations. This includes the construction of an entirely new 80,000 sq. ft. data center in the \u003Ca href=\u0022https:\/\/codatechsquare.com\/\u0022 target=\u0022_blank\u0022\u003ECoda building\u003C\/a\u003E which is managed by \u003Ca href=\u0022https:\/\/www.databank.com\/\u0022 target=\u0022_blank\u0022\u003EDataBank\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIntegral to this datacenter planning and readying for the Hive supercomputer was Georgia Tech\u0026rsquo;s \u003Ca href=\u0022https:\/\/pace.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EPartnership for an Advanced Computing Environment \u003C\/a\u003E(PACE) team.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to PACE Senior HPC Architect Paul Manno, \u0026ldquo;We have partnered with DataBank and we are working with them to create what is essentially a great research resource, but also a great operations datacenter, for Georgia Tech and others. Before, we were limited by space, power, and cooling in the old datacenter on campus.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe said, \u0026ldquo;Now, in addition to having much more space, we are starting out with roughly two megawatts of power for Georgia Tech and we can expand that up to 8-10 megawatts, which gives us the ability to expand well beyond what people had originally envisioned and provides Georgia Tech a means to grow into the future.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Hive is the new $5.3 million high-performance computing system housed in Coda. Hive is now the largest HPC resource Georgia Tech owns and will support data-driven research in astrophysics, computational biology, health sciences, computational chemistry, m"}],"uid":"34540","created_gmt":"2019-11-19 19:43:55","changed_gmt":"2019-11-19 19:47:46","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-11-19T00:00:00-05:00","iso_date":"2019-11-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"629125":{"id":"629125","type":"image","title":"Hive Cluster Supercomputer Ribbon Cutting","body":null,"created":"1574189412","gmt_created":"2019-11-19 18:50:12","changed":"1574189412","gmt_changed":"2019-11-19 18:50:12","alt":"A photograph of the Hive cluster supercomputer with blue LED lights","file":{"fid":"239594","name":"Coda Ribbon Cutting 3.jpg","image_path":"\/sites\/default\/files\/images\/Coda%20Ribbon%20Cutting%203.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Coda%20Ribbon%20Cutting%203.jpg","mime":"image\/jpeg","size":499293,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Coda%20Ribbon%20Cutting%203.jpg?itok=x9GfF0_P"}}},"media_ids":["629125"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"135","name":"Research"}],"keywords":[{"id":"4305","name":"cse"},{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"167322","name":"supercomputing"},{"id":"4449","name":"ideas"},{"id":"168094","name":"Srinivas Aluru"},{"id":"173060","name":"coda"},{"id":"174872","name":"HIVE"},{"id":"167325","name":"supercomputer"},{"id":"183054","name":"CHiPC"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39471","name":"Materials"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"628911":{"#nid":"628911","#data":{"type":"news","title":"High-Performance Computing Researchers Boast Two Best Student Paper Finalists at SC19","body":[{"value":"\u003Cp\u003ESupercomputers are crunching numbers to facilitate data analysis in social computing, genomics in healthcare, three-dimensional modeling in material engineering, and more. And, the number of computational problems that are too large to solve on standard computers is growing rapidly causing high-performance computing (HPC) to become a necessity for industry and academia alike.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech researchers are stepping in to answer this growing need by leading HPC research from a variety of approaches and are preparing to present their latest findings in Denver, Colorado next week at the 2019\u0026nbsp;\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/\u0022\u003EInternational Conference for High Performance Computing, Networking, Storage, and Analysis.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso known as Supercomputing or SC19, the annual conference features leading research in the fields of HPC and exascale computing with an emphasis on real-world application.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, Georgia Tech\u0026rsquo;s presence boasts four papers, four workshops, two posters, and one Birds of a Feather discussion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwo of the four papers,\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=pap373\u0026amp;sess=sess165\u0022\u003ECARE: Compiler-Assisted Recovery from Soft Failures\u003C\/a\u003E\u0026nbsp;\u003C\/em\u003Eand\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=pap449\u0026amp;sess=sess158\u0022\u003EGPU Acceleration of Extreme Scale Pseudo-Spectral Simulations of Turbulence Using Asynchronism\u003C\/a\u003E\u0026nbsp;\u003C\/em\u003Eare best student paper award finalists. The announcement naming the winner of the award will be made at the SC19 award ceremony on Nov. 21.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s presence also comprises a number of activities outside of the conference agenda, including the Georgia Tech booth (#1809) on the vendor floor, which will give SC19 attendees an opportunity to engage directly with researchers, students, and staff alike.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, booth #1809 features four live demos provided by researchers and students, including a presentation about the\u0026nbsp;\u003Ca href=\u0022https:\/\/womeninhpc.org\/2019\/03\/mentoring-programme-2019\/\u0022\u003EWomen in High Performance Computing\u003C\/a\u003E\u0026nbsp;(WHPC) program by WHPC Director and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ceismc.gatech.edu\/\u0022\u003ECenter for Education Integrating Science, Mathematics, and Computing\u003C\/a\u003E\u0026nbsp;Research Scientist II\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ceismc.gatech.edu\/about\/staffdirectory\/lorna-rivera\u0022\u003E\u003Cstrong\u003ELorna Rivera\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo see a full listing of Georgia Tech\u0026rsquo;s presence in the Supercomputing proceedings and a demo schedule click\u0026nbsp;\u003Ca href=\u0022https:\/\/mailchi.mp\/59cdab896d2a\/gtsc19\u0022\u003Ehere.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA full listing of papers with Georgia Tech Affiliations this year are below:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap373\u0026amp;sess=sess165\u0022\u003E\u003Cem\u003ECARE: Compiler-Assisted Recovery from Soft Failures\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EChao Chen, Greg Eisenhauer, Santosh Pande,\u0026nbsp;\u003C\/strong\u003EQiang Guan\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap482\u0026amp;sess=sess170\u0022\u003E\u003Cem\u003EDistributed Enhanced Suffix Arrays: Efficient Algorithms for Construction and Querying\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPatrick Flick, Srinivas Aluru\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap449\u0026amp;sess=sess158\u0022\u003E\u003Cem\u003EGPU Acceleration of Extreme Scale Pseudo-Spectral Simulations of Turbulence Using Asynchronism\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EKiran Ravikumar,\u0026nbsp;\u003C\/strong\u003EDavid Appelhans,\u0026nbsp;\u003Cstrong\u003EP.K. Yeung\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc19.supercomputing.org\/presentation\/?id=pap158\u0026amp;sess=sess156\u0022\u003E\u003Cem\u003EPractical and Efficient Incremental Adaptive Routing for HyperX Networks\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003ENic McDonald,\u0026nbsp;\u003Cstrong\u003EMikhail Isaev,\u0026nbsp;\u003C\/strong\u003EAdriana Flores, Al Davis, John Kim\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mc.us1.list-manage.com\/pages\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=0a6d74d0a9\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003EAutoFFT: A Template-Based FFT Codes Auto-Generation Framework for ARM and X86 CPUs\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E*Zhihao Li\u003C\/strong\u003E, Haipeng Jia, Yunquan Zhang, Tun Chen, Liang Yuan, Luning, Cao, Xiao Wang\u003Cbr \/\u003E\r\n\u003Cem\u003E*Note: This paper is by a Georgia Tech visiting Ph.D. student but is not a Georgia Tech published item.\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022http:\/\/chipc.gatech.edu\/job-opportunities\u0022\u003ECenter for High Performance Computing\u003C\/a\u003E\u0026nbsp;(CHiPC) leads this year\u0026rsquo;s Georgia Tech efforts under CHiPC Director and School of Computational Science and Engineering Professor\u0026nbsp;\u003Ca href=\u0022http:\/\/vuduc.org\/v2\/\u0022\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;I\u0026rsquo;m really proud of Georgia Tech\u0026rsquo;s presence at SC19 this year, especially the two best paper finalists. It\u0026rsquo;s a good warm-up for SC20, where we will be the home team,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVuduc is referencing the fact that Supercomputing is making its way for the first time to Atlanta next year. This means Georgia Tech\u0026rsquo;s HPC community is buzzing with anticipation to showcase its newest HPC resource, the\u0026nbsp;\u003Ca href=\u0022http:\/\/chipc.gatech.edu\/hg\/item\/611216\u0022\u003EHive.\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech\u0027s high-performance computing researchers head to Denver for Supercomputing 2019."}],"uid":"34540","created_gmt":"2019-11-12 18:25:45","changed_gmt":"2019-11-12 19:53:20","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-11-12T00:00:00-05:00","iso_date":"2019-11-12T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628909":{"id":"628909","type":"image","title":"SC19 logo","body":null,"created":"1573580222","gmt_created":"2019-11-12 17:37:02","changed":"1573580222","gmt_changed":"2019-11-12 17:37:02","alt":"SC19 logo on black background","file":{"fid":"239518","name":"ogimage_1200.png","image_path":"\/sites\/default\/files\/images\/ogimage_1200.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ogimage_1200.png","mime":"image\/png","size":46727,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ogimage_1200.png?itok=n3LbapzC"}}},"media_ids":["628909"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"183054","name":"CHiPC"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:kristen.perez@cc.gatech.edu\u0022\u003EKristen Perez\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"610537":{"#nid":"610537","#data":{"type":"news","title":"NSF Top Supercomputer Award Goes to Texas, and Georgia Tech is on the Team","body":[{"value":"\u003Cp\u003EA team from Georgia Tech will be a part of the new supercomputing system known as Frontera that will be located at the Texas Advanced Computing Center (TACC) and funded by a $60 million award from the National Science Foundation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe National Science Foundation (NSF) \u003Ca href=\u0022https:\/\/www.nsf.gov\/news\/news_summ.jsp?cntn_id=296431\u0026amp;org=NSF\u0026amp;from=news\u0022\u003Eannounced the award\u003C\/a\u003E, which will support the acquisition and deployment of the new supercomputer to TACC at The University of Texas at Austin, today. Anticipated to begin operations in 2019, Frontera will be the fastest at any U.S. university, among the most powerful in the world, and will allow the nation\u0026rsquo;s academic researchers to make important discoveries in all fields of science, from astrophysics to zoology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team from Georgia Tech is led by Srinivas Aluru, co-executive director of the Institute for Data Engineering and Science, and also includes Rich Vuduc, Edmond Chow, and David Bader. All are professors in the School of Computational Science and Engineering, where Bader serves as chair, and in the College of Computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech is excited to be part of the NSF leadership-class computing facility project, which will produce the design and operation of the leading academic supercomputer of our times, and guide its path to reaching exascale capabilities,\u0026rdquo; Aluru said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis team will be working on the evaluation of possible architectures and technical design of the Phase Two system, and develop exascale-ready code for application areas including computational biology and computational chemistry. Georgia Tech faculty will also serve on the technical advisory committee for the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Many of the frontiers of research today can only be advanced by computing, and Frontera will be an important tool to solve grand challenges that will improve our nation\u0026rsquo;s health, well-being, competitiveness, and security,\u0026rdquo; said Dan Stanzione, TACC executive director.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf completed today, Frontera would be the fifth most powerful system in the world, the third fastest in the U.S., and the largest at any university. For comparison, Frontera will be roughly twice as powerful as Stampede2 (currently the fastest university supercomputer), and 70 times larger than Ranger, which operated until 2013.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo match what Frontera will compute in just one second, a person would have to perform one calculation every second for roughly one billion years.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThrough its involvement, Georgia Tech researchers will influence the design, operation, and science conducted on the leading NSF supercomputer. Tech researchers will also receive substantial access during the early operations phase.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnticipated early projects on Frontera include analyses of particle collisions from the Large Hadron Collider, global climate modeling, improved hurricane forecasting, and multi-messenger astronomy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe primary computing system will be provided by Dell EMC and powered by Intel processors. Data Direct Networks will contribute the primary storage system and Mellanox will provide the high-performance interconnect for the machine. GRC (Green Revolution Cooling), NVIDIA, and the cloud providers Amazon, Google, and Microsoft will also have roles in the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFaculty at the Institute for Computational Engineering and Sciences at UT Austin will lead the world-class science applications and technology team, with partners from the California Institute of Technology, Cornell University, Princeton University, Stanford University, the University of Chicago, the University of Utah, and the University of California, Davis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExperienced technologists and operations partners from the sites above, as well as The Ohio State University, the Georgia Institute of Technology, and Texas A\u0026amp;M University will ensure the system runs effectively in all areas, including security, user engagement, and workforce development.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrontera will enter production in the summer of 2019 and will operate for five years. In addition to serving as a resource for the nation\u0026rsquo;s scientists and engineers, the award will support efforts to test and demonstrate the feasibility of an even larger future leadership-class system \u0026ndash; ten times faster than Frontera \u0026ndash; to potentially be deployed as Phase 2 of the project.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Keeping the U.S. at the forefront of advanced computing capabilities and providing researchers across the country access to those resources are key elements in maintaining our status as a global leader in research and education,\u0026rdquo; said NSF Director France C\u0026oacute;rdova.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This award is an investment in the entire U.S. research ecosystem that will enable leap-ahead discoveries.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A team from Georgia Tech will be a part of the new supercomputing system known as Frontera that will be located at the Texas Advanced Computing Center (TACC) and funded by a $60 million award from the National Science Foundation. "}],"uid":"27343","created_gmt":"2018-08-29 13:51:26","changed_gmt":"2019-11-04 21:45:26","author":"Jennifer Salazar","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-08-29T00:00:00-04:00","iso_date":"2018-08-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"610539":{"id":"610539","type":"image","title":"Srinivas Aluru","body":null,"created":"1535551316","gmt_created":"2018-08-29 14:01:56","changed":"1535551316","gmt_changed":"2018-08-29 14:01:56","alt":"","file":{"fid":"232472","name":"srinivas.jpg","image_path":"\/sites\/default\/files\/images\/srinivas.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/srinivas.jpg","mime":"image\/jpeg","size":152241,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/srinivas.jpg?itok=EFthdvt7"}}},"media_ids":["610539"],"groups":[{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"178878","name":"Frontera"},{"id":"167325","name":"supercomputer"},{"id":"172914","name":"Exascale Computing"},{"id":"4305","name":"cse"},{"id":"181217","name":"cse-hpc"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDr. JF Salazar\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ejsalazar@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jsalazar@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"628061":{"#nid":"628061","#data":{"type":"news","title":"HPC Framework Blocks May Instigate a New Era of Accessibility for Software Engineers","body":[{"value":"\u003Cp\u003EResearchers are beginning a three-year cross-institute project that aims to lower the barrier to entry for software engineers developing new high-performance applications on large scale parallel systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe new\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1919021\u0022\u003E$1.26 million National Science Foundation (NSF) project\u003C\/a\u003E\u0026nbsp;seeks to develop compiler tools and runtime systems to create a framework, named\u0026nbsp;\u003Cem\u003EParallel Algorithms by Blocks (PAbB\u003C\/em\u003E), built specifically to facilitate simpler programming of scalable parallel systems in high-performance computing (HPC) and exascale machines.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Current supercomputers and exascale machines are getting harder to program because of how technology is evolving,\u0026rdquo; said School of Computational Science and Engineering (CSE) Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/umit-v-catalyurek\u0022\u003E\u003Cstrong\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026Ccedil;ataly\u0026uuml;rek is Georgia Tech\u0026rsquo;s principal investigator (PI) for the project and joins the project\u0026rsquo;s lead PI, University of Utah Professor\u0026nbsp;\u003Cstrong\u003EPonnuswamy Sadayappan,\u0026nbsp;\u003C\/strong\u003Eand co-PIs,\u0026nbsp;\u003Cstrong\u003EAnanth Kalyanaraman\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EAravind Sukumaran\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003ERajam\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003ESriram\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003EKrishnamoorthy\u0026nbsp;\u003C\/strong\u003Eof Washington State University. The team of researchers plan to combine user insights, new compiler optimizations, and advanced runtime support to create the PAbB framework which will ultimately create building blocks of parallel code for heterogeneous environments to use across a number of applications from computational science and data science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom caches to networks, architectures are written so that a system inherently wants to transfer multiple items at once. And, according to \u0026Ccedil;ataly\u0026uuml;rek, when looking at algorithms and problems, and thinking of them in terms of blocks \u0026ndash; or packages of data \u0026ndash; they are able to take advantage of hardware transfer and have better scheduling of communication and computation in these heterogeneous systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We cannot make the single core in a computer much faster anymore, which is why sequential programs are not gettingfaster, and why we have to do everything in parallel computing,\u0026rdquo; he said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;If you look at today\u0026rsquo;s supercomputers you will see that all of the architectures are becoming more and more heterogenous. So, writing parallel code by itself without heterogeneity is difficult, but, when combined, it becomes a barrier for many engineers.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHeterogenous systems are made up of hardware and software components that necessitate the use of different languages, run on different operations, and usually incorporate specialized processing capabilities to handle particular tasks.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers, particularly those in the HPC and exascale spaces, need a way to ensure they write their data and computation to work in these heterogenous environments, on multiple nodes, and are still able to communicate effectively with the rest of a program while producing the results fast. PAbB aims to become the first framework that achieves both high productivity and high performance in such environments by creating a framework that utilizes block programming.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Professor \u00dcmit \u00c7ataly\u00fcrek receives NSF grant to develop a framework that facilitates simpler programming of scalable parallel systems in high-performance computing (HPC) and exascale machines. "}],"uid":"34540","created_gmt":"2019-10-24 19:36:41","changed_gmt":"2019-10-27 23:38:41","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-24T00:00:00-04:00","iso_date":"2019-10-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628064":{"id":"628064","type":"image","title":"HPC Resource - data stack","body":null,"created":"1571946376","gmt_created":"2019-10-24 19:46:16","changed":"1571946376","gmt_changed":"2019-10-24 19:46:16","alt":"The image of a computer in a data stack with yellow and orange tabs","file":{"fid":"239161","name":"Data Center_MG_9964.jpg","image_path":"\/sites\/default\/files\/images\/Data%20Center_MG_9964.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Data%20Center_MG_9964.jpg","mime":"image\/jpeg","size":369349,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Data%20Center_MG_9964.jpg?itok=dHQYGpbl"}}},"media_ids":["628064"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"3427","name":"High performance computing"},{"id":"4305","name":"cse"},{"id":"170627","name":"Umit Catalyurek"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"627708":{"#nid":"627708","#data":{"type":"news","title":"New Tricks for an Old Technique: Asynchronous Methods for Exascale Computing","body":[{"value":"\u003Cp\u003EIn the realm of high-performance computing (HPC), also known as supercomputing, the idea of \u0026ldquo;better, faster, stronger\u0026rdquo; is only as good as the number of tasks a computer can efficiently run at once or complete before moving on to the next step.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/dblp.org\/pers\/hd\/w\/Wolfson=Pou:Jordi\u0022\u003EJordi Wolfson-Pou\u003C\/a\u003E\u003C\/strong\u003E, a Ph.D. student in the School of Computational Science and Engineering (CSE), is an HPC researcher who has spent the past few months traveling the globe, presenting new insights on an old solution that aims to tackle synchronization bottlenecks in supercomputers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese new insights highlight the efficacy of using\u0026nbsp;asynchronous multigrid iterative methods for solving large linear systems on exascale computers. The researchers who discovered these findings believe this approach can quicken the computing processes used in a variety of fields, such as physics and engineering.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Solving equations in physics and engineering often requires highly accurate solutions, which means very large problems need to be solved.\u0026nbsp;\u0026nbsp;This is where supercomputers come in. The next generation of supercomputers will be capable of doing calculations at the exascale and will certainly be fast, but synchronization will limit their speed,\u0026rdquo; said Wolfson-Pou.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIterative methods are old computing techniques that start with an initial guess and generate a sequence of improved approximations to the true solution.\u0026nbsp;These methods have achieved remarkable results and showed measurable progress for completing calculations simultaneously. However, the nature of these methods involves one or more synchronization points within each iteration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Supercomputers are composed of many parallel processes doing calculations concurrently. If many processes have to synchronize, some may be idle while waiting for others to finish,\u0026rdquo; said Wolfson-Pou.\u0026nbsp;\u0026nbsp;\u0026ldquo;For example, this could be due to some processes having to do more calculations than others, or the underlying hardware that a process uses is slower than the hardware another uses. In asynchronous methods, the faster processes simply move on to the next step using the most available information.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom Brazil to China, Wolfson-Pou presented the new observations he and CSE Professor\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~echow\/\u0022\u003EEdmond Chow\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Ediscovered while examining multigrid methods in an effort to understand how they can be executed asynchronously.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheir findings are detailed in the paper,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~echow\/pubs\/jwp-chow-ipdps19.pdf\u0022\u003E\u003Cem\u003EAsynchronous Multigrid Methods,\u003C\/em\u003E\u0026nbsp;\u003C\/a\u003Ewhich\u0026nbsp;was presented at the following:\u003C\/p\u003E\r\n\r\n\u003Col\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.ipdps.org\/ipdps2019\/2019-call-for-papers.html\u0022\u003EInternational Parallel \u0026amp; Distributed Computing Symposium\u003C\/a\u003E\u0026nbsp;(IPDPS), May 20-24, Rio de Janeiro, Brazil\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/iciam2019.org\/\u0022\u003EInternational Conference on Industrial and Applied Mathematics\u003C\/a\u003E\u0026nbsp;(ICIAM), July 15-19, Valencia, Spain\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.multigrid.org\/img2019\/\u0022\u003EInternational Multigrid Conference\u003C\/a\u003E\u0026nbsp;(IMG), August 11-16, Kunming, China\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/grandmaster.colorado.edu\/summit\/schedule.php\u0022\u003EAMG Summit\u003C\/a\u003E, September 30 \u0026ndash; October 3, Santa Fe, New Mexico\u003C\/li\u003E\r\n\u003C\/ol\u003E\r\n\r\n\u003Cp\u003EThe paper\u0026rsquo;s experimental results show that asynchronous multigrid can be faster than classical multigrid in terms of reducing the time it takes to converge to the solution.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE researchers present a new perspective on applying asynchronous methods to combat bottlenecks in exascale computing."}],"uid":"34540","created_gmt":"2019-10-17 13:19:20","changed_gmt":"2019-10-17 13:27:25","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-10-17T00:00:00-04:00","iso_date":"2019-10-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"627707":{"id":"627707","type":"image","title":"Asynchronous Methods for HPC ","body":null,"created":"1571318114","gmt_created":"2019-10-17 13:15:14","changed":"1571318114","gmt_changed":"2019-10-17 13:15:14","alt":"Global-res and local-res partitionings for the Multadd example presented in Section IV for each step of the computation of the corrections e0 and e1. Arrows denote moving to the next step of the computation. Sync() denotes a synchronization point, where the list of threads passed to Sync() denotes the threads that synchronize. Blue Sync() denotes a synchronization for asynchronous multigrid, and red Sync() denotes a synchronization point for synchronous multigrid. ","file":{"fid":"239017","name":"Screen Shot 2019-10-17 at 9.13.14 AM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202019-10-17%20at%209.13.14%20AM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202019-10-17%20at%209.13.14%20AM.png","mime":"image\/png","size":306882,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202019-10-17%20at%209.13.14%20AM.png?itok=yjQjYlN7"}}},"media_ids":["627707"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"}],"keywords":[{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"},{"id":"3427","name":"High performance computing"},{"id":"172914","name":"Exascale Computing"},{"id":"182689","name":"Jordi Wolfson-pou"},{"id":"182690","name":"Edmond Chau"},{"id":"4305","name":"cse"},{"id":"11559","name":"CSE computational science engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"626750":{"#nid":"626750","#data":{"type":"news","title":"Georgia Tech Researchers Set to Receive Two Innovation Awards at HPEC\u201919","body":[{"value":"\u003Cp\u003EDefined by the practice of aggregating power in an effort to achieve greater performance, high-performance computing (HPC) is increasingly becoming more diverse. Now, this market,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.grandviewresearch.com\/press-release\/global-high-performance-computing-hpc-market\u0022\u003Ewhich is expected to reach $59.65 billion by 2025\u003C\/a\u003E, is setting its sights on new applications including the use of graphics processing units (GPUs) for deep learning, cloud computing, and more.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese applications will ultimately speed processing rates and cut computational costs for embedded computing systems used in transportation, healthcare, manufacturing, retail, and a host of other industries.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBut, there are specific requirements and unique challenges \u0026ndash; known and unknown \u0026ndash; to deploying HPC applications outside of a data center. To address these challenges and advance this growing research area, School of Computational Science and Engineering (CSE) HPC researchers are bringing their expertise to this week\u0026rsquo;s 2019\u0026nbsp;\u003Ca href=\u0022http:\/\/www.ieee-hpec.org\/\u0022\u003EIEEE High Performance Extreme Computing Conference\u003C\/a\u003E\u0026nbsp;(HPEC).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHPEC is one of the leading conferences of its kind. It brings HPC and embedded systems researchers together to identify obstacles and develop effective solutions for delivering HPC capabilities to edge computing applications, augment big data with GPUs, and more.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers from CSE are set to present several papers at this year\u0026rsquo;s HPEC, which runs from\u0026nbsp;Sept. 24 to 26 in Waltham, Massachusetts. Of these, two papers were submitted to the HPEC 2019\u0026nbsp;\u003Ca href=\u0022https:\/\/graphchallenge.mit.edu\/\u0022\u003EGraphChallenge\u003C\/a\u003E\u0026nbsp;and are set to receive Innovation Awards.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The GraphChallenge creates an annual benchmark that drives community development of new solutions for analyzing graphs and sparse data from social media, sensor feeds, and scientific data to discover relationships between events,\u0026rdquo; said CSE Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~ayasar3\/\u0022\u003E\u003Cstrong\u003EAbdurrahman Yasar\u003C\/strong\u003E,\u003C\/a\u003E\u0026nbsp;an investigator on two of the four Innovation Award winning papers, and a 2018 GraphChallenge champion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the two CSE winning papers,\u0026nbsp;\u003Cem\u003ELinear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments,\u0026nbsp;\u003C\/em\u003Edescribes an update to the linear-algebraic formulation of the classic triangle-counting problem.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Triangle counting is a representative graph analysis algorithm with several applications and is also one of the three benchmarks used in the IEEE HPEC GraphChallenge,\u0026rdquo; said Yasar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In this work we propose a novel multi-core multi-GPU triangle counting algorithm. Our new approach does not require architecture specific changes on code which is crucial for portability on heterogenous environments and the way we distribute the tasks between GPUs and CPUs is highly appreciated.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile triangle counting remains an important benchmark in the GraphChallenge, several other research areas are also prevalent in this year\u0026rsquo;s CSE HPEC proceedings.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESee the list below to view all Georgia Tech papers being presented at this year\u0026rsquo;s HPEC conference:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EConcurrent Katz Centrality\u0026nbsp;for Streaming Graphs\u0026nbsp;\u003C\/em\u003E-\u0026nbsp;\u003Cstrong\u003EChunxing Yin, Jason Riedy\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003ESkip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems\u0026nbsp;\u003C\/em\u003E\u0026ndash;\u0026nbsp;\u003Cstrong\u003EXiaojing An, Kasimir Gabert, James Fox, Oded Green,\u0026nbsp;\u003C\/strong\u003EDavid A. Bader\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EImproving Scheduling for Irregular Applications with Logarithmic Radix Binning\u0026nbsp;\u003C\/em\u003E\u0026ndash;\u0026nbsp;\u003Cstrong\u003EJames Fox, Alok Tripathy, Oded Green\u003C\/strong\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/graphchallenge.mit.edu\/champions\u0022\u003E\u003Cstrong\u003EGraph Challenge Champions\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cem\u003ELinear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E- Abdurrahman Yasar,\u0026nbsp;\u003C\/strong\u003ESivasankaran Rajamanickam, Jonathan Berry, Michael Wolf,\u0026nbsp;\u003Cstrong\u003EJeff Young, \u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EScalable Triangle Counting on Distributed-Memory Systems\u0026nbsp;\u003C\/em\u003E\u003Cstrong\u003E\u0026ndash;\u0026nbsp;\u003C\/strong\u003ESeher Acer,\u0026nbsp;\u003Cstrong\u003EAbdurrahman Yasar,\u0026nbsp;\u003C\/strong\u003ESivasankaran Rajamanickam, Michael Wolf,\u0026nbsp;\u003Cstrong\u003E\u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/612011\/school-cse-speeds-graph-applications-and-presents-graphchallenge-winning-paper-hpec-2018\u0022\u003E[Related News: School of CSE Speeds up Graph Applications and Presents GraphChallenge Winning Paper at HPEC 2018]\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE leads this year\u0027s presence at HPEC 2019 and Ph.D student Abdurrahman Yasar is set to receive two innovation awards for GraphChallenge submissions."}],"uid":"34540","created_gmt":"2019-09-25 18:55:23","changed_gmt":"2019-09-25 18:55:23","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-09-25T00:00:00-04:00","iso_date":"2019-09-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"626667":{"id":"626667","type":"image","title":"HPEC 2019 Logo","body":null,"created":"1569340934","gmt_created":"2019-09-24 16:02:14","changed":"1569340934","gmt_changed":"2019-09-24 16:02:14","alt":"IEEE HPEC logo with a computer chip illustration on a peach background","file":{"fid":"238599","name":"hpec.jpg","image_path":"\/sites\/default\/files\/images\/hpec.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/hpec.jpg","mime":"image\/jpeg","size":9830,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hpec.jpg?itok=I_I0Hk_K"}}},"media_ids":["626667"],"groups":[{"id":"624060","name":"Center for High Performance Computing (CHiPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"181217","name":"cse-hpc"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"},{"id":"182468","name":"HPEC"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"602745":{"#nid":"602745","#data":{"type":"news","title":"CSE Explores the Boundaries of HPC, Data Science, and India","body":[{"value":"\u003Cp\u003EAs 2017 drew to a close, several faculty and alumni from the School of Computational Science and Engineering (CSE) traveled across the globe to attended two conferences in India \u0026ndash; The 24\u003Csup\u003Eth\u003C\/sup\u003E IEEE International Conference on \u003Ca href=\u0022http:\/\/hipc.org\/?utm_content=buffera0584\u0026amp;utm_medium=social\u0026amp;utm_source=twitter.com\u0026amp;utm_campaign=buffer\u0022\u003EHigh Performance Computing\u003C\/a\u003E (HiPC2017), held in Jaipur, and the \u003Ca href=\u0022https:\/\/icmlds.org\/icmlds2017\/index\u0022\u003EIEEE International Conference on Machine Learning and Data Science\u003C\/a\u003E (ICMLDS2017) in Greater Noida.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE Professor and Associate Chair \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/umit-v-catalyurek\u0022\u003E\u003Cstrong\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek\u003C\/strong\u003E\u003C\/a\u003E served as the \u003Ca href=\u0022http:\/\/hipc.org\/organizing\/\u0022\u003Eprogram chair\u003C\/a\u003E of HiPC2017, which, coincidentally, was where he presented his first peer-reviewed paper in 1995. Now, 22 years later, \u0026Ccedil;ataly\u0026uuml;rek oversaw all aspects of the conference, from the technical program \u0026ndash; with a committee of more than 100 individuals \u0026ndash; that featured three keynote talks and 41 papers, selected from over 180 submissions. CSE Chair \u003Cstrong\u003EDavid Bader\u003C\/strong\u003E and CSE Professor and IDEaS co-Director \u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E are members of the HiPC Steering Committee and attended the conference.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The quality of the papers was very good this year and I was very happy. It can be challenging to attract such good submissions when you have HPC conferences in locations that are not historically known for being pillars for that field of research,\u0026rdquo; said \u0026Ccedil;ataly\u0026uuml;rek.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAmong these papers, was CSE Professor \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/srinivas-aluru\u0022\u003E\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E\u0026rsquo;s\u003C\/strong\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Cem\u003EParallel Exact Dynamic Bayesian Network Structure Learning with Application to Gene Networks\u003C\/em\u003E, which earned a best paper finalist award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE recent graduate, \u003Cstrong\u003EDevaret Makkar\u003C\/strong\u003E, presented the paper Exact and Parallel Triangle Counting in Dynamic Graphs, which discusses a new dynamic graph algorithm for counting triangles, on behalf of co-authors CSE Research Scientist \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/oded-green\u0022\u003E\u003Cstrong\u003EOded Green\u003C\/strong\u003E\u003C\/a\u003E and CSE Chair \u003Cstrong\u003EDavid Bader\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESeveral days before HiPC2017, Bader attended ICMLDS2017, the first of an international conference series hosted by \u003Ca href=\u0022https:\/\/www.bennett.edu.in\/\u0022\u003EBennett University\u003C\/a\u003E, where he participated as as a keynote speaker.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.bennett.edu.in\/\u0022\u003EBennett University\u003C\/a\u003E was established \u0026ndash; just 18 months ago prior to the conference \u0026ndash; as a startup academic venture in the suburbs of Delhi. It was founded by The Times Group, a conglomerate that owns several media brands throughout India.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of these brands,\u003Cem\u003E The Economic Times\u003C\/em\u003E, interviewed Bader about his keynote at ICMLDS2017, \u003Ca href=\u0022https:\/\/economictimes.indiatimes.com\/industry\/services\/education\/bennett-university-ieee-hold-global-meet-on-machine-learning-and-data-science\/articleshow\/62074454.cms\u0022\u003Epublishing it in the paper\u003C\/a\u003E the next morning. \u003Cem\u003EThe Times of India\u003C\/em\u003E, the sister platform to \u003Cem\u003EThe Economic Times\u003C\/em\u003E, also interviewed Bader about 5G abilities and published the \u003Ca href=\u0022https:\/\/blogs.timesofindia.indiatimes.com\/breaking-shackles\/5g-will-enable-a-new-era-of-opportunity-says-david-bader\/\u0022\u003EQ\u0026amp;A online\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Times Group established Bennett University as an independent institute with the goals of revitalizing the research industry, addressing research needs across the region, and ultimately encouraging economic development of the country. The university, still in its infancy, hosted the conference as a means to introduce those in academia, industry, and international audiences, to the new concept.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The Times of India realized they needed a competitive advantage to encourage economic development of the country. In order to accomplish this with the creation of Bennett University, they gave the new school latitude to higher faculty and started collaborative research labs that are often joint with industry. In computing, they\u0026rsquo;ve started labs centered around companies such as Dell, NVIDIA, and others,\u0026rdquo; said Bader.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;One area they are investing in is using HPC for data science, and they have formed unique departments at the interface of traditional disciplines similar to our school [CSE] at Georgia Tech.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE faculty travled to India to take part in two conferences, HiPC2017 and ICMLDS2017."}],"uid":"34540","created_gmt":"2018-02-22 15:09:07","changed_gmt":"2019-08-29 12:34:15","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-02-22T00:00:00-05:00","iso_date":"2018-02-22T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"602746":{"id":"602746","type":"image","title":"CSE in India: Umit and Srinivas","body":null,"created":"1519312351","gmt_created":"2018-02-22 15:12:31","changed":"1519312351","gmt_changed":"2018-02-22 15:12:31","alt":"","file":{"fid":"229739","name":"UmitandSrinivas copy.jpg","image_path":"\/sites\/default\/files\/images\/UmitandSrinivas%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/UmitandSrinivas%20copy.jpg","mime":"image\/jpeg","size":5106004,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/UmitandSrinivas%20copy.jpg?itok=CknOqAop"}}},"media_ids":["602746"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"177202","name":"HiPC"},{"id":"177203","name":"ICMLDS"},{"id":"177204","name":"HPC; high performance computing; supercomputing; Bader; Srinivas; Umit"},{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"}],"core_research_areas":[{"id":"145171","name":"Cybersecurity"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"},{"id":"39511","name":"Public Service, Leadership, and Policy"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"597895":{"#nid":"597895","#data":{"type":"news","title":"Georgia Tech to Participate for the First Time in Supercomputing Student Cluster Competition","body":[{"value":"\u003Cp\u003EFor the first time, a team of students from Georgia Tech will participate in the annual\u0026nbsp;\u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/studentssc\/student-cluster-competition\/\u0022\u003EStudent Cluster Competition\u003C\/a\u003E, at the\u0026nbsp;\u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/\u0022\u003ESupercomputing Conference 2017\u003C\/a\u003E\u0026nbsp;(SC17). The team is supported by the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) and the\u0026nbsp;\u003Ca href=\u0022http:\/\/ideas.gatech.edu\/\u0022\u003EInstitute for\u0026nbsp;Data Engineering and Science\u003C\/a\u003E. The team of six is also supported via a sponsorship by IBM, Flagship, and Tech Data\u0026nbsp;for a loan of the latest hardware equipment to target the best performance metrics on various tasks involved in the competition.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Student Cluster Competition is a high-performance computing (HPC) multi-disciplinary experience integrated within the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/532371\/cse-confronts-hpc-and-big-data-challenges-new-partnership-program\u0022\u003EHPC community\u0026rsquo;s\u003C\/a\u003E\u0026nbsp;biggest gathering, SC\u0026#39;17. The event is a real-time, non-stop, 48-hour challenge that demonstrates the breadth of skills, technologies and science required to build, maintain, and utilize a computer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETeams of six comprising undergraduate and high school students are selected via a team proposal. The groups then assemble a small cluster on the exhibit floor as they race to complete a real-world workload across a series of applications while rotating personnel to accomplish the varying tasks associated with the competition agenda.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year\u0026rsquo;s conference takes place November 12-17 in Denver, Colorado. Georgia Tech\u0026rsquo;s team, Team Swarm, is ready to compete against the\u0026nbsp;\u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/2017\/05\/04\/sixteen-teams-chosen-to-compete-in-student-cluster-competition-at-sc17\/\u0022\u003E16 others selected from across the globe\u003C\/a\u003E, each ranging in age, experience, and nationality. The team is advised by CSE Research Scientist\u0026nbsp;\u003Cstrong\u003EOded Green\u0026nbsp;\u003C\/strong\u003Ealongside co-advisors,\u0026nbsp;\u003Cstrong\u003EChirag Jain\u003C\/strong\u003E, fourth-year CSE Ph.D. student, and CSE Research Technologist\u0026nbsp;\u003Cstrong\u003EWill Powell\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBefore 2015, the competition was mostly about throughput and judging was based primarily on how many datasets could be computed in the shortest amount of time. Since then, more elements that replicate what scientists and staff at research centers contend with every day have been included into the completion scorecard and agenda.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe two-day competition is now scored on a number of categories including the ability to describe methods used during an interview and in written format, group engagement in the conference, a poster presentation, benchmarking, reproducibility and a number of apps, as well as a surprise competition. Teams can expect more datasets than would be possible to compute within their power budget, timeframe and cloud resources. This is meant to encourage teams to make decisions based on their architecture and how to best use their resources in live time.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccoridng to Green, students have been preparing for the competition since last January through a mix of weekly meetings, registering for advanced classes, and gaining valuable insight through hands on experience. While these students are still in their undergrad, the training and education they have received in preparation for this competition expands well beyond HPC and produces an educational foundation they will continue using for years to come.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This may be Georgia Tech\u0026rsquo;s first year participating, but our first-rate dedication and preparation certainly makes me confident that our students will succeed far beyond the competition itself,\u0026rdquo; said Green.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, Team Swarm includes\u0026nbsp;\u003Cstrong\u003EPetros Eskinder\u003C\/strong\u003E, a fourth year computer science major;\u0026nbsp;\u003Cstrong\u003EDezhi \u0026ldquo;Andy\u0026rdquo; Fang\u003C\/strong\u003E, a second year science major;\u0026nbsp;\u003Cstrong\u003ENick Fahrenkrog\u003C\/strong\u003E, a fourth year electrical engineering student;\u0026nbsp;\u003Cstrong\u003EManas George\u003C\/strong\u003E, a third year computer science student;\u0026nbsp;\u003Cstrong\u003EDavid Meyer\u003C\/strong\u003E, a third year computer science major;\u0026nbsp;\u003Cstrong\u003EJessica Rosenfield\u003C\/strong\u003E, a third year computer science major; and\u0026nbsp;\u003Cstrong\u003EAlok Tripathy\u003C\/strong\u003E, a second year computer science major.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Each year,\u0026nbsp;\u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/organization\/?inst=Georgia%20Institute%20of%20Technology\u0022\u003EGeorgia Tech\u0026rsquo;s presence at the Supercomputing Conference\u003C\/a\u003E\u0026nbsp;is felt: from papers in the main conference and workshops, to faculty participation in panels and keynotes, to students presenting at poster sessions and exhibition booths,\u0026rdquo; said Jain.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;However, up until this year, we have been absent from the Cluster Competition. Now, with our team competing, we believe Georgia Tech has officially swarmed SC17 from all fronts. It also helps that our mascot is a yellow jacket.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Students from Georgia Tech will participate in the annual SC \u002717 Student Cluster Competition for the first time."}],"uid":"34540","created_gmt":"2017-10-26 16:17:15","changed_gmt":"2019-08-29 12:32:36","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2017-10-26T00:00:00-04:00","iso_date":"2017-10-26T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"597558":{"id":"597558","type":"image","title":"Supercomputing Conference 2017 Logo","body":null,"created":"1508347144","gmt_created":"2017-10-18 17:19:04","changed":"1508347144","gmt_changed":"2017-10-18 17:19:04","alt":"","file":{"fid":"227782","name":"supercomputinglogo.png","image_path":"\/sites\/default\/files\/images\/supercomputinglogo.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/supercomputinglogo.png","mime":"image\/png","size":76694,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/supercomputinglogo.png?itok=bKteQvvL"}}},"media_ids":["597558"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[{"id":"133","name":"Special Events and Guest Speakers"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"7041","name":"computational science \u0026 engineering"},{"id":"167322","name":"supercomputing"},{"id":"78621","name":"Big Data; materials; HPC"},{"id":"181217","name":"cse-hpc"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"614051":{"#nid":"614051","#data":{"type":"news","title":"Georgia Tech Superheroes of Supercomputing Make a Powerful Debut at SC\u201918","body":[{"value":"\u003Cp\u003ETo promote awareness of its researchers and their work at next week\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/\u0022\u003EInternational Conference for High Performance Computing, Networking, Storage, and Analysis\u003C\/a\u003E\u0026nbsp;\u0026ndash; widely known as Supercomputing (SC) \u0026ndash; Georgia Tech has created\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/content\/superheroes-supercomputing\u0022\u003E\u003Cem\u003ESuperheroes of Supercomputing\u0026nbsp;\u003C\/em\u003Etrading cards\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech is using high-performance computing (HPC) to help solve some of the world\u0026rsquo;s toughest technical challenges in energy, sustainability, human health, materials science, and national security,\u0026rdquo; said\u0026nbsp;\u003Ca href=\u0022http:\/\/ideas.gatech.edu\/center-high-performance-computing-chipc\u0022\u003ECenter for High Performance Computing\u003C\/a\u003E\u0026nbsp;Director and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool Computational Science and Engineering (\u003C\/a\u003ECSE) Professor\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We believe research this powerful deserves the superhero treatment. So, we have created the first-ever\u0026nbsp;\u003Cem\u003ESuperheroes of Supercomputing\u0026nbsp;\u003C\/em\u003Ecard deck to showcase Georgia Tech\u0026#39;s HPC findings.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEach card represents one of four technical papers being presented at SC\u0026rsquo;18, which is being held in Dallas, Texas, Nov. 11 to 16. A card touting the Rogue\u0026rsquo;s Gallery, Georgia Tech\u0026rsquo;s growing collection of next generation computing hardware \u0026ndash; has also been created.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlong with a unique superhero for each subject, the two-sided cards include details about the project and list the primary researchers along with their Georgia Tech affiliations.\u0026nbsp;All artwork and design work was done by Georgia Tech communications officer\u0026nbsp;\u003Cstrong\u003EKristen Perez\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso included on each card are details about how SC\u0026rsquo;18 conference attendees can enter a contest for the chance to win an\u0026nbsp;\u003Ca href=\u0022https:\/\/www.amazon.com\/All-new-Echo-Show-2nd-Gen\/dp\/B077SXWSRP\u0022\u003EAmazon Echo Show\u003C\/a\u003E\u0026nbsp;courtesy of Amazon through the cards. To enter, attendees can take a photo of any character from the deck out in the world, at home, or at the conference itself and post to Twitter or Instagram with the hashtag:\u0026nbsp;\u003Cstrong\u003E#gtsuperherosc18\u003C\/strong\u003E. Downloadable PDF versions are available online for printing purposes. Winners will be announced Nov. 28.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe paper and center contributions, each with a representative superhero card, are below. A complete list of Georgia Tech activities at SC\u0026rsquo;18 can be viewed\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/organization\/?inst=Georgia%20Institute%20of%20Technology\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/crnch.gatech.edu\/rogues-gallery\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003ERogues Gallery\u003C\/strong\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/fruitfly1026.github.io\/static\/files\/sc18-li.pdf\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003EHiCOO: Hierarchical Storage of Sparse Tensors\u003C\/strong\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap506\u0026amp;sess=sess204\u0022\u003E\u003Cstrong\u003EAccelerating Quantum Chemistry with Vectorized and Batched Integrals\u003C\/strong\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap382\u0026amp;sess=sess207\u0022\u003E\u003Cstrong\u003EDetecting MPI Usage Anomalies via Partial Program Symbolic Execution\u003C\/strong\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap551\u0026amp;sess=sess206\u0022\u003E\u003Cstrong\u003EOptimizing High Performance Distributed Memory Parallel Hash Tables for DNA k-mer Counting\u003C\/strong\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A new trading card series of superheroes represents Georgia Tech\u0027s latest high-performance computing research at the Supercomputing Conference series. "}],"uid":"34540","created_gmt":"2018-11-08 20:58:25","changed_gmt":"2019-08-29 12:31:55","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-11-08T00:00:00-05:00","iso_date":"2018-11-08T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"614038":{"id":"614038","type":"image","title":"Superheroes of Supercomputing ","body":null,"created":"1541706133","gmt_created":"2018-11-08 19:42:13","changed":"1541706133","gmt_changed":"2018-11-08 19:42:13","alt":"Five cards with different characters, two men, two women, and one emu, are spread out from left to right.","file":{"fid":"233765","name":"CardsLayedOut.png","image_path":"\/sites\/default\/files\/images\/CardsLayedOut.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/CardsLayedOut.png","mime":"image\/png","size":1881872,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/CardsLayedOut.png?itok=2UW6RIwD"}}},"media_ids":["614038"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"169763","name":"superhero"},{"id":"175538","name":"superheroes"},{"id":"78621","name":"Big Data; materials; HPC"},{"id":"11559","name":"CSE computational science engineering"},{"id":"167322","name":"supercomputing"},{"id":"181217","name":"cse-hpc"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"145171","name":"Cybersecurity"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39481","name":"National Security"},{"id":"39501","name":"People and Technology"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"598659":{"#nid":"598659","#data":{"type":"news","title":"Georgia Tech Leads the Way into Supercomputing \u201817 with HPC Experts","body":[{"value":"\u003Cp\u003EA team of Georgia Tech high-performance computing (HPC) experts is heading to Colorado next week to take part in the HPC community\u0026rsquo;s largest annual event, the \u003Ca href=\u0022http:\/\/www.supercomp.org\/\u0022\u003EInternational Conference for High Performance Computing, Networking, Storage and Analysis\u003C\/a\u003E. This year\u0026rsquo;s conference, known as \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/\u0022\u003ESC17\u003C\/a\u003E, opens Sunday in Denver at the Colorado Convention Center and runs through Nov. 17.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/583821\/pushing-hpc-forward-georgia-tech-heads-supercomputing-16\u0022\u003EAs it has in the past\u003C\/a\u003E, Georgia Tech is boasting a large presence at SC17. This year, the Institute has over three dozen attendees, including faculty, staff, and students. Along with staffing a booth (335), \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/organization\/?inst=Georgia%20Institute%20of%20Technology\u0022\u003EGeorgia Tech is participating in a broad array of events\u003C\/a\u003E showcasing recent technical applications and advances in HPC.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The power to apply the latest computation-based innovation is vital in today\u0026rsquo;s marketplace. HPC and data sciences, from analytics to machine learning, at Georgia Tech goes well-beyond merely keeping pace with market trends,\u0026rdquo; said \u003Cstrong\u003EDavid Bader\u003C\/strong\u003E, chair of the School of Computational Science and\u0026nbsp;Engineering (CSE).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;As we continue to attract the best and the brightest student, faculty, and research minds in HPC, we are pushing forward on what is possible and delivering results that can lead to groundbreaking advances in cancer research, cybersecurity and other areas of vital importance to our nation and the world.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe six-day SC17 affair includes invited talks, panels, research papers, tutorials, workshops, posters, and Birds of a Feather (BoF) sessions. Participants include leading HPC networking, storage, and analysis experts from industry, academia, and government.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the workshops will feature keynote remarks from School of Computer Science Professor Vivek Sarkar. During a session on memory centric programming for HPC. Sarkar will present, \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wkpr358\u0026amp;sess=sess443\u0022\u003E\u003Cem\u003ECompiler and Runtime Challenges for Memory Centric Programming\u003C\/em\u003E\u003C\/a\u003E, which begins at 9:10 a.m. on Nov. 12.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnother expected highlight at SC17 is a panel discussion featuring \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presenter\/?fn=debra\u0026amp;ln=lam\u0026amp;uid=872573\u0022\u003E\u003Cstrong\u003EDebra Lam\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E\u0026nbsp;\u0026ndash;\u003C\/strong\u003E Managing Director of Smart Cities and Inclusive Innovation for Georgia Tech \u0026ndash; is participating in \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=hpccp101\u0026amp;sess=sess413\u0022\u003E\u003Cem\u003EHPC Connects Plenary: The Century of the City\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E,\u003C\/em\u003E Nov. 13 from 5:30-6:30 p.m. Along with two other HPC experts, Lam will discuss emerging needs and opportunities suggesting an increasing role for HPC in cities, with perspectives from city government, planning and design, and embedded urban HPC systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the most anticipated events at SuperComputing each year is the annual announcement of the \u003Ca href=\u0022http:\/\/graph500.org\/\u0022\u003EGraph500 list\u003C\/a\u003E. Developed by Bader and a small cadre of well-known supercomputing experts, the Graph500 is recognized as a leading indicator of global HPC development and investment, and often reveals trends regarding which technologies are popular in the machines. This year, the 15\u003Csup\u003Eth\u003C\/sup\u003E Graph500 List will be announced during \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=bof184\u0026amp;sess=sess341\u0022\u003Ea BoF session\u003C\/a\u003E, which is set for Nov. 15 at 12:15 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference agenda also includes awards, an evening gala, exhibit hall, and the \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/studentssc\/\u0022\u003EStudents@SC mission\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe mission encompasses development programs, opportunities to learn from mentors, and engagement with Sc\u0026rsquo;s technical sessions for the HPC student community at both graduate and undergraduate levels.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe mission also organizes the \u003Ca href=\u0022http:\/\/www.studentclustercompetition.us\/\u0022\u003EStudent Cluster Competition\u003C\/a\u003E (SCC), Beginning early on Nov. 13, the SCC is a non-stop, 48-hour HPC multi-disciplinary challenge, in which student teams demonstrate their abilities to build, maintain, and utilize a computer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is the first year a Georgia Tech team will be participating in the SCC. Known as \u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/597895\/georgia-tech-participate-first-time-supercomputing-student-cluster-competition\u0022\u003ETeam Swarm\u003C\/a\u003E, the team of six students is advised by Research Scientist \u003Cstrong\u003EOded Green\u003C\/strong\u003E, and co-advised by Ph.D. student \u003Cstrong\u003EChirag Jain\u003C\/strong\u003E and CSE Research Technologist \u003Cstrong\u003EWill Powell\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdditional Georgia Tech participation includes: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENov. 12\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wkpr106\u0026amp;sess=sess432\u0022\u003EWomen in HPC: Diversifying the HPC Community\u003C\/a\u003E \u0026ndash; Lorna Rivera\u003C\/li\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wkpr358\u0026amp;sess=sess443\u0022\u003EKeynote: Compiler and Runtime Challenges for Memory Centric Programming\u003C\/a\u003E \u0026ndash; Vivek Sarkar\u003C\/li\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wkpr316\u0026amp;sess=sess432\u0022\u003EPanel Discussion: Diversifying the HPC Workforce\u003C\/a\u003E \u0026ndash; Lorna Rivera\u003C\/li\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wkpr144\u0026amp;sess=sess435\u0022\u003EParallel Streaming for In Transit Analysis with Heterogeneous Data Layout\u003C\/a\u003E \u0026ndash; Greg Eisenhauer\u003C\/li\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wkpr312\u0026amp;sess=sess432\u0022\u003EWhy Subtle Bias is Often Worse than Blatant Discrimination\u003C\/a\u003E \u0026ndash; Lorna Rivera\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENov. 13\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wksp151\u0026amp;sess=sess120\u0022\u003EEnergy Efficient Supercomputing (E2SC)\u003C\/a\u003E \u0026ndash; Sudhakar Yalamanchili\u003C\/li\u003E\r\n\t\u003Cli\u003EHPC Connects Plenary, Keynote \u0026amp; Plenary Talk \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=hpccp101\u0026amp;sess=sess413\u0022\u003EHPC Connects Plenary: The Century of the City\u003C\/a\u003E \u0026ndash; Debra Lam\u003C\/li\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; Seventh SC Workshop on Irregular Applications: Architectures and Algorithms \u0026ndash; Richard Vuduc\u003C\/li\u003E\r\n\t\u003Cli\u003EWorkshop \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=wkpr232\u0026amp;sess=sess437\u0022\u003EParallel Tensor Infrastructure (ParTI!)\u003C\/a\u003E \u0026ndash; Jiajia Li\u003C\/li\u003E\r\n\t\u003Cli\u003EStudent Cluster Competition (Nov. 13-16)\u0026nbsp;- \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/studentssc\/student-cluster-competition\/\u0022\u003ETeam Swarm\u003C\/a\u003E - Oded Green and Will Powell\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENov. 14\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EPoster Reception \u0026ndash;\u0026nbsp; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=spost104\u0026amp;sess=sess293\u0022\u003EA:25 Investigating Performance of Serialization Methods for Networked Data Transfer in HPC Applications\u003C\/a\u003E \u0026ndash; Max Yang\u003C\/li\u003E\r\n\t\u003Cli\u003EBirds of a Feather \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=bof195\u0026amp;sess=sess334\u0022\u003EMemory-Centric Architectures for the Cloud and HPC\u003C\/a\u003E \u0026ndash; Sudhakar Yalamanchili\u003C\/li\u003E\r\n\t\u003Cli\u003EACM Student Research Competition, Poster, Reception \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=post213\u0026amp;sess=sess293\u0022\u003EP10: HiCOO: A Hierarchical Sparse Tensor Format for Tensor Decompositions\u003C\/a\u003E \u0026ndash; Jiajia Li, Jimeng Sun, Richard Vuduc\u003C\/li\u003E\r\n\t\u003Cli\u003EBirds of a Feather \u0026ndash; Message Passing Can\u0026rsquo;t Solve Your Graph Problems \u0026ndash; David Bader\u003C\/li\u003E\r\n\t\u003Cli\u003EBirds of a Feather \u0026ndash; A Proposal for a Next-Generation BLAS \u0026ndash; Jason Riedy\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENov. 15\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u0026nbsp;\u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=bof184\u0026amp;sess=sess341\u0022\u003E15\u003Csup\u003Eth\u003C\/sup\u003E Graph500 List\u003C\/a\u003E \u0026ndash; David Bader\u003C\/li\u003E\r\n\t\u003Cli\u003EBirds of a Feather \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=bof155\u0026amp;sess=sess353\u0022\u003EFrom Outreach to Education to Researcher \u0026ndash; Innovative Ways of Expanding the HPC Community\u003C\/a\u003E \u0026ndash; Lorna Rivera\u003C\/li\u003E\r\n\t\u003Cli\u003EBirds of a Feather \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=bof133\u0026amp;sess=sess366\u0022\u003EOpenSHMEM in the Era of Exascale\u003C\/a\u003E \u0026ndash; Vivek Sarkar\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENov. 16\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EPaper Presentation \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=pap581\u0026amp;sess=sess179\u0022\u003EDistributed Southwell: An Iterative Method with Low Communication Costs\u003C\/a\u003E \u0026ndash; Jordi Wolfson-Pou and Edmond Chow\u003C\/li\u003E\r\n\t\u003Cli\u003EPoster, Scientific Visualization \u0026amp; Data Analytics Showcase \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=svs102\u0026amp;sess=sess265\u0022\u003EFirst Light in the Renaissance Simulation Visualization: Formation of the Very First Galaxies in the Universe\u003C\/a\u003E \u0026ndash; John H. Wise\u003C\/li\u003E\r\n\t\u003Cli\u003EBirds of a Feather \u0026ndash; \u003Ca href=\u0022http:\/\/sc17.supercomputing.org\/presentation\/?id=bof189\u0026amp;sess=sess338\u0022\u003ERecruitment: How to Build Diverse Teams\u003C\/a\u003E \u0026ndash; Lorna Rivera\u0026nbsp;\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech Participates in Supercomputing Conference with Large Attendance."}],"uid":"34540","created_gmt":"2017-11-10 16:57:05","changed_gmt":"2019-08-29 12:31:10","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2017-11-10T00:00:00-05:00","iso_date":"2017-11-10T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"597558":{"id":"597558","type":"image","title":"Supercomputing Conference 2017 Logo","body":null,"created":"1508347144","gmt_created":"2017-10-18 17:19:04","changed":"1508347144","gmt_changed":"2017-10-18 17:19:04","alt":"","file":{"fid":"227782","name":"supercomputinglogo.png","image_path":"\/sites\/default\/files\/images\/supercomputinglogo.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/supercomputinglogo.png","mime":"image\/png","size":76694,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/supercomputinglogo.png?itok=bKteQvvL"}}},"media_ids":["597558"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"181217","name":"cse-hpc"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[{"id":"145171","name":"Cybersecurity"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39481","name":"National Security"},{"id":"39501","name":"People and Technology"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"620742":{"#nid":"620742","#data":{"type":"news","title":"Two New NVIDIA Collaborations Awarded to Georgia Tech with School of CSE\u2019s Leadership","body":[{"value":"\u003Cp\u003EGeorgia Tech is now the recipient of a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/research\/\u0022\u003ENVIDIA Artificial Intelligence (AI) Lab\u003C\/a\u003E\u0026nbsp;(NVAIL) grant as part of the\u0026nbsp;\u003Ca href=\u0022https:\/\/news.developer.nvidia.com\/graph-technology-leaders-combine-forces-to-advance-graph-analytics\/\u0022\u003ENVAIL program focusing on graph analytics\u003C\/a\u003E\u0026nbsp;on graphics processing units (GPUs).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAdditionally, Georgia Tech, along with with Texas A\u0026amp;M, and U.C. Davis, will all contribute to the progress of the \u003Ca href=\u0022https:\/\/news.developer.nvidia.com\/graph-technology-leaders-combine-forces-to-advance-graph-analytics\/\u0022\u003ENVIDIA\u0026nbsp;data science curriculum partnership this year\u003C\/a\u003E, expanding the open source\u0026nbsp;\u003Ca href=\u0022https:\/\/developer.nvidia.com\/rapids\u0022\u003ERAPIDS graph analytics algorithms\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThrough these partnerships, Georgia Tech will work closely with NVIDIA researchers on GPU technologies and their application to data analytics. The goal of this collaboration is to build the world\u0026rsquo;s most advanced accelerated end-to-end pipeline for data analytics, and to support groundbreaking work of the world\u0026rsquo;s leading AI researchers and labs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Chair\u0026nbsp;\u003Cstrong\u003EDavid Bader\u0026nbsp;\u003C\/strong\u003Eled the NVAIL program proposal effort as part of continuing work at Georgia Tech on GPU technology and scalable graph algorithms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Data science is the fastest growing field of computer science today. With this growth in mind, we are excited to further the collaborative relationship of Georgia Tech and NVIDIA,\u0026rdquo; said Bader. \u0026ldquo;We will focus on the design and implementation of scalable graph algorithms and primitives\u0026nbsp;for integrating into\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/rapidsai\/cugraph\u0022\u003EcuGRAPH\u003C\/a\u003E, leveraging their\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/hornet-gt\/hornet\u0022\u003EHornet\u003C\/a\u003E framework that will foster new abilities in the broader community of data scientists.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs part of the awards, NVIDIA is providing:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E$100,000 cash award for one year toward research into scalable graph algorithms\u003C\/li\u003E\r\n\t\u003Cli\u003E(1)\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-1\/\u0022\u003ENVIDIA DGX Station\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003ECollaboration on\u0026nbsp;\u003Ca href=\u0022https:\/\/developer.nvidia.com\/teaching-kits\u0022\u003EDeep Learning Institute Teaching Kits\u003C\/a\u003E\u0026nbsp;and educator outreach\u003C\/li\u003E\r\n\t\u003Cli\u003EOpportunities for faculty and students of the Georgia Tech NVIDIA AI Lab to work at NVIDIA as visiting professors and interns\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech is now the recipient of a NVIDIA AI Lab and Data Science Curriculum Partnership."}],"uid":"34540","created_gmt":"2019-04-22 17:31:58","changed_gmt":"2019-08-26 13:52:19","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-04-22T00:00:00-04:00","iso_date":"2019-04-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"620644":{"id":"620644","type":"image","title":"NVAIL","body":null,"created":"1555613878","gmt_created":"2019-04-18 18:57:58","changed":"1555613878","gmt_changed":"2019-04-18 18:57:58","alt":"A text image of a graph with Georgia tech in between cuGraph and Hornet and UC Davis between cuGraph and Gunrock. NVIDIA points to cuGraph and nvGraph. cuGraph points to Texas A\u0026M which points to SuiteSparse\/GraphBLAS.","file":{"fid":"236329","name":"nvail.jpeg","image_path":"\/sites\/default\/files\/images\/nvail.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/nvail.jpeg","mime":"image\/jpeg","size":18506,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/nvail.jpeg?itok=X-L-m3LY"}}},"media_ids":["620644"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[{"id":"135","name":"Research"}],"keywords":[{"id":"14549","name":"nvidia"},{"id":"4305","name":"cse"},{"id":"181079","name":"GPUs"},{"id":"2835","name":"ai"},{"id":"92811","name":"data science"},{"id":"572","name":"partnership"},{"id":"3427","name":"High performance computing"},{"id":"702","name":"hpc"},{"id":"181217","name":"cse-hpc"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"615074":{"#nid":"615074","#data":{"type":"news","title":"HiCOO Takes Home Best Student Paper Title of Supercomputing 2018 by Creating a New Storage Format","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022http:\/\/fruitfly1026.github.io\/\u0022\u003EJiajia Li\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Eis a recently graduated Ph.D. student from the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) with a knack for optimizing tensor algorithms and creating memorable pun-filled paper titles. Li\u0026rsquo;s latest work,\u0026nbsp;\u003Ca href=\u0022http:\/\/fruitfly1026.github.io\/static\/files\/sc18-li.pdf\u0022\u003E\u003Cem\u003EHierarchical Storage of Sparse Tensors\u003C\/em\u003E\u003C\/a\u003E, nicknamed HiCOO, focuses on both of these attributes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHiCOO was awarded the prestigious title of best student paper at this year\u0026rsquo;s International Conference for\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/\u0022\u003EHigh Performance Computing, Networking, Storage, and Analysis\u003C\/a\u003E, commonly referred to as Supercomputing (SC).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWinning the best student paper award at this well-established and increasingly competitive conference program, which boasted an impressive\u0026nbsp;\u003Ca href=\u0022https:\/\/www.hpcwire.com\/off-the-wire\/sc18-papers-program-is-live-and-awards-finalists-are-posted\/\u0022\u003E288 technical paper submissions with 68 ultimately being accepted\u003C\/a\u003E\u0026nbsp;this year, is no small feat.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, for Li, who holds a second Ph.D. degree in computer architecture, the journey to effectively alter a process is half the battle and half the fun in research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;For me, it isn\u0026rsquo;t about the outcome, but rather what I can explore in the process along the way,\u0026rdquo; she said. \u0026ldquo;Tensors algorithms are a way to break down data by organizing or viewing it in a certain manner to find what connects the different factors. Sparse tensors are just a specific kind of tensor.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor sparse tensor computations, there is tension among storage, speed, and flexibility. With traditional methods, you can usually get just two of these three traits. For example, a computation can be fast and flexible at the price of more storage. Or, it can be compact and flexible, but also slow.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We wanted to create a storage format for tensors that was all three: compact, fast, and flexible,\u0026rdquo; said Li.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAuthors of HiCOO, which includes Li and CSE Associate Professors\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022http:\/\/vuduc.org\/v2\/\u0022\u003ERich Vuduc\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Eand\u0026nbsp;\u003Ca href=\u0022http:\/\/sunlab.org\/\u0022\u003E\u003Cstrong\u003EJimeng Sun\u003C\/strong\u003E\u003C\/a\u003E, were inspired by the work of Lawrence Berkeley National Lab Staff Scientist\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/people.eecs.berkeley.edu\/~aydin\/\u0022\u003EAydin Bulu\u0026ccedil;\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Ewhich focuses on sparse matrices, the lower dimensional analogue of a tensor.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;We saw an opportunity to extend those ideas to sparse tensors,\u0026rdquo; explained Li. \u0026ldquo;We believe HiCOO is smaller, faster, and simpler to update [when the data is changing] than state-of-the-art alternatives. So, we think it will be easier to use in tensor libraries, tools, and data mining applications, which today include e-commerce, healthcare, security, and deep learning, to name a few.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVuduc said, \u0026ldquo;An example of this use comes from Jimeng Sun\u0026rsquo;s work where his team is\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/603063\/deep-learning-can-now-help-prevent-heart-failure\u0022\u003Etrying to find structure in electronic health records\u003C\/a\u003E\u0026nbsp;(EHRs). There is always a way to organize the data along certain dimensions, for example, a patient could be considered one dimension, the diagnosis they receive would be a second, and their treatment a third.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs one could imagine, the way in which these dimensions could be combined could yield endless outcomes. Which is why the ability to store data of this size in a way that respects order, quickly computes, and uses as minimal amount of storage as possible is a critically needed function.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Basically, the formats that existed already could give you two of those areas: All the competition could either have a small data structure which took less storage or if you wanted to access the data in a different order it could but would be slower,\u0026rdquo; said Li. \u0026ldquo;HiCOO breaks the mold of its predecessors by proposing a new storage format for sparse tensors [called Hierarchical COOrdinate], that accomplishes all three.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELi currently works as a computer scientist at the\u0026nbsp;\u003Ca href=\u0022http:\/\/hpc.pnl.gov\/\u0022\u003EHigh Performance Computing Group\u003C\/a\u003E\u0026nbsp;of\u0026nbsp;\u003Ca href=\u0022https:\/\/www.pnnl.gov\/\u0022\u003EPacific Northwest National Laboratory\u003C\/a\u003E\u0026nbsp;(PNNL) in Richland, Washington.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERead the PNNL press release of HiCOO\u0026nbsp;\u003Ca href=\u0022https:\/\/www.pnnl.gov\/science\/highlights\/highlight.asp?id=5038\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE recent graduate Jiajia Li\u0027s paper, HiCOO, won best student paper award at Supercomputing 2018."}],"uid":"34540","created_gmt":"2018-12-06 16:56:12","changed_gmt":"2019-08-26 13:51:33","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-12-06T00:00:00-05:00","iso_date":"2018-12-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"615075":{"id":"615075","type":"image","title":"HiCOO Best Student Paper Announcement","body":null,"created":"1544115789","gmt_created":"2018-12-06 17:03:09","changed":"1544115789","gmt_changed":"2018-12-06 17:03:09","alt":"Supercomputing 2018 Best Student Paper Award Winner:\u00a0HiCOO [Image courtesy of The International Conference for High Performance\u00a0Computing, Networking, Storage, and Analysis]","file":{"fid":"234210","name":"HiCOO Awards - courtesy of SC\u002718.jpg","image_path":"\/sites\/default\/files\/images\/HiCOO%20Awards%20-%20courtesy%20of%20SC%2718.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/HiCOO%20Awards%20-%20courtesy%20of%20SC%2718.jpg","mime":"image\/jpeg","size":837210,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/HiCOO%20Awards%20-%20courtesy%20of%20SC%2718.jpg?itok=cRuWYJgB"}}},"media_ids":["615075"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"181217","name":"cse-hpc"},{"id":"702","name":"hpc"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"614172":{"#nid":"614172","#data":{"type":"news","title":"Georgia Tech\u2019s Leading High-Performance Computing Scientists Showcase Research Highlights at Supercomputing 2018","body":[{"value":"\u003Cp\u003EGeorgia Tech high-performance computing (HPC) experts are gathered in Dallas this week to take part in the HPC community\u0026rsquo;s largest annual event \u0026mdash; the\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/\u0022\u003EInternational Conference for High Performance Computing, Networking, Storage, and Analysis\u003C\/a\u003E\u0026nbsp;\u0026mdash; commonly referred to as Supercomputing. This year\u0026rsquo;s conference, SC\u0026rsquo;18, opened Sunday at the\u0026nbsp;\u003Ca href=\u0022http:\/\/www.dallasconventioncenter.com\/\u0022\u003EKay Bailey Hutchison Convention Center Dallas\u003C\/a\u003E\u0026nbsp;and runs through Nov. 16.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Georgia Tech researchers are presenting 23 separate events this week, including four technical paper presentations, several workshops, panels, and even a doctoral showcase with CSE [School of Computational Science and Engineering] Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/patflick.github.io\/\u0022\u003E\u003Cstrong\u003EPatrick Flick\u003C\/strong\u003E\u003C\/a\u003E,\u0026rdquo; said\u0026nbsp;\u003Ca href=\u0022http:\/\/ideas.gatech.edu\/center-high-performance-computing-chipc\u0022\u003ECenter for High Performance Computing\u003C\/a\u003E\u0026nbsp;Director and CSE Professor\u0026nbsp;\u003Ca href=\u0022http:\/\/vuduc.org\/v2\/\u0022\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E.\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the papers being presented,\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap511\u0026amp;sess=sess212\u0022\u003E\u003Cem\u003EHiCOO: Hierarchical Storage of Sparse Tensors\u003C\/em\u003E\u003C\/a\u003E, by CSE recent graduate\u0026nbsp;\u003Cstrong\u003EJiajia Li\u0026nbsp;\u003C\/strong\u003Eand CSE Associate Professors Vuduc and\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/jimeng-sun\u0022\u003EJimeng Sun\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Ewas nominated as one of the five best student papers of 288 submissions in this year\u0026rsquo;s program.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAttendees can also stop by the Georgia Tech booth (#1217) to talk with faculty and students, take a moment to watch the live feed of fish from the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.georgiaaquarium.org\/\u0022\u003EGeorgia Aquarium\u003C\/a\u003E, and view additional Georgia Tech HPC research with the research slide deck. Swag items are also available, including\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/content\/superheroes-supercomputing\u0022\u003ESuperheroes of Supercomputing Cards\u003C\/a\u003E\u0026nbsp;and Georgia Tech-branded bags.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe complete Georgia Tech SC\u0026rsquo;18 proceedings, projects, and research slides can be viewed\u0026nbsp;\u003Ca href=\u0022https:\/\/spark.adobe.com\/page\/nUNKgdyX5xsox\/\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESee below for a list of Georgia Tech events at SC\u0026rsquo;18 (broken down by event type):\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWorkshops:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=pec364\u0026amp;sess=sess160\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EHot Topics Discussion II: Thriving at Work\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ELorna Rivera, Lucy Nowell, Carissa Holohan\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=ws_mchpc114\u0026amp;sess=sess149\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EA Preliminary Study of Compiler Transformations for Graph Applications on the Emu System\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EAUTHOR\/PRESENTERS: Prasanth Chatarasi, Vivek Sarkar\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=ws_eduhpcp113\u0026amp;sess=sess165\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EA One Year Retrospective on a MOOC in Parallel, Concurrent, and Distributed Programming in Java\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EVivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=ws_pmes104\u0026amp;sess=sess156\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EShortest Path and Neighborhood Subgraph Extraction on a Spiking Memristive Neuromorphic Implementation\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ECatherine Schuman, Kathleen Hamilton, Tiffany Mintz, Md Musabbir Adnan, Bon Woong Ku, Sung-Kyu Lim, Garrett S. Rose\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=ws_mlhpce109\u0026amp;sess=sess221\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EAutomated Parallel Data Processing Engine with Application to Large-Scale Feature Extraction\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EXin Xing, Bin Dong, Jonathan Ajo-Franklin, Kesheng Wu\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=ws_ia101\u0026amp;sess=sess168\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EA Fast and Simple Approach to Merge and Merge Sorting Using Wide Vector Instructions\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EAlex Watkins, Oded Green\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=ws_espm109\u0026amp;sess=sess173\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EA Unified Runtime for PGAS and Event-Driven Programming\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ESri Raj Paul, Kun Chen, Akihiro Hayashi, Max Grossman, Vivek Sarkar\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=pec434\u0026amp;sess=sess176\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EA Study of OpenMP Device Offloading in LLVM: Correctness and Consistency\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ELechen Yu\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBirds of a Feather:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=bof191\u0026amp;sess=sess440\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003E17th Graph500 List\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ERichard Murphy, David Bader, Peter Kogge, Andrew Lumsdaine, Anton Korzh\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=bof135\u0026amp;sess=sess391\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EStrategies for Inclusive and Scalable HPC Outreach and Education\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EJulie Mullen, Weronika Filinger, Tom Maiden, Nicholas Brown, Lorna Rivera, John Urbanic, Karina Nunez, Bryan Johnston, Karina Pesatova, Martin Quinson\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=bof205\u0026amp;sess=sess446\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EAdvanced Architecture Testbeds: A Catalyst for Co-design Collaborations\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EKevin Barker, Jeffrey Young, Alice Koniges, Jeffrey Vetter, James Laros\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/hpc.pnl.gov\/BOF\/\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EHPC Graph Toolkits and GraphBLAS Forum\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003E\u003Cstrong\u003E\u003Cem\u003EJos\u0026eacute; Moreira (IBM), Antonino Tumeo (PNNL), Aydin Bulu\u0026ccedil; (LBNL), Mahantesh Halappanavar (PNNL), John Feo (PNNL)\u003C\/em\u003E\u003C\/strong\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003EDavid Bader\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=bof156\u0026amp;sess=sess418\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EAn Update on the Next-Generation BLAS Proposal\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EPiotr Luszczek, Jack Dongarra, Jason Riedy, Greg Henry, James Demmel, Mark Gates, Xiaoye S. Li, Ping Tak P. Tang\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=bof222\u0026amp;sess=sess454\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EWorkloads and Benchmarks for System Acquisition\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ENeil Bright, Laura Brown, Henry Neeman, Alex Younts\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPapers\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap551\u0026amp;sess=sess206\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EOptimizing High Performance Distributed Memory Parallel Hash Tables for DNA k-mer Counting\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ETony C. Pan, Sanchit Misra, Srinivas Aluru\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap511\u0026amp;sess=sess212\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EHiCOO: Hierarchical Storage of Sparse Tensors\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EJiajia Li, Jimeng Sun, Rich Vuduc\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap506\u0026amp;sess=sess204\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EAccelerating Quantum Chemistry with Vectorized and Batched Integrals\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EHua Huang, Edmond Chow\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pap382\u0026amp;sess=sess207\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EDetecting MPI Usage Anomalies via Partial Program Symbolic Execution\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EFangke Ye, Jisheng Zhao, Vivek Sarkar\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003EPoster:\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=spost132\u0026amp;sess=sess325\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EModeling Single-Source Shortest Path Algorithm Dynamics to Control Performance and Power Tradeoffs\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ESara Karamati, Jeffrey Young, Rich Vuduc\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPanels\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pan103\u0026amp;sess=sess287\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003ERuntime for Exascale and Beyond: Convergence or Divergence?\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EMarc Snir, Vivek Sarkar, Pavan Balaji, Laxmikant Kale, Sean Treichler, Hartmut Kaiser, Raymond Namyst\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pan105\u0026amp;sess=sess306\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EConvergence between HPC and Big Data: The Day After Tomorrow\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EBilel Hadri, Sadaf Alam, Katie Antypas, David Bader, Dan Reed, Rio Yokota\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/presentation\/?id=pec351\u0026amp;sess=sess359\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EStudents@SC: Making the Best of Your HPC Education\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003ERebecca Hartman, Elisa Heymann, Jesmin Jahan Tithi, Rich Vuduc, Kenneth Weiss, Xinghui Zhao\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDoctoral Showcase\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/?post_type=page\u0026amp;p=3479\u0026amp;id=drs108\u0026amp;sess=sess342\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EParallel and Scalable Combinatorial String and Graph Algorithms on Distributed Memory Systems\u003C\/em\u003E\u003C\/strong\u003E\u003C\/a\u003E\r\n\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EPatrick Flick, Srinivas Aluru\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech researchers head to the Supercomputing conference in Dallas, Texas this week."}],"uid":"34540","created_gmt":"2018-11-12 20:42:34","changed_gmt":"2019-08-26 13:50:47","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-11-12T00:00:00-05:00","iso_date":"2018-11-12T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"614168":{"id":"614168","type":"image","title":"SC\u002718 Logo ","body":null,"created":"1542054546","gmt_created":"2018-11-12 20:29:06","changed":"1542054546","gmt_changed":"2018-11-12 20:29:06","alt":"Supercomputing Logo: SC18 with blue background and dark blue star on the left with text that reads \u0022HPC Inspires\u0022","file":{"fid":"233824","name":"sc\u002718logo.png","image_path":"\/sites\/default\/files\/images\/sc%2718logo.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/sc%2718logo.png","mime":"image\/png","size":53128,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/sc%2718logo.png?itok=86eMDxOa"}}},"media_ids":["614168"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"702","name":"hpc"},{"id":"167322","name":"supercomputing"},{"id":"172190","name":"Dallas"},{"id":"181217","name":"cse-hpc"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39481","name":"National Security"},{"id":"39511","name":"Public Service, Leadership, and Policy"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"620187":{"#nid":"620187","#data":{"type":"news","title":"Koby Hayashi Aims to Emphasize Interpretability with HPC-focused Fellowship","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) first-year Ph.D. student\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/scholar.google.com\/citations?user=2m0TLK0AAAAJ\u0026amp;hl=en\u0022\u003EKoby Hayashi\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Ewon the highly competitive\u0026nbsp;\u003Ca href=\u0022https:\/\/www.krellinst.org\/csgf\/about-doe-csgf\u0022\u003EDepartment of Energy Computational Science Graduate Fellowship\u003C\/a\u003E\u0026nbsp;(DOE CSGF) for 2019-2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.krellinst.org\/csgf\/alumni\/listing-by-academic-institution\u0022\u003EDOE CSGF alumni listing\u003C\/a\u003E, Hayashi is the first Georgia Tech recipient of this award since 2011 and the first-ever recipient of this award from the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/\u0022\u003ECollege of Computing\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESince its establishment in 1991, the DOE CSGF has provided benefits and opportunities to students pursuing doctoral degrees in fields that use\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/content\/high-performance-computing\u0022\u003Ehigh-performance computing\u003C\/a\u003E\u0026nbsp;(HPC) to solve complex science and engineering problems.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Many fields at this time are suffering from a number of big data problems. HPC is not exempt from this issue,\u0026rdquo; said Hayashi. \u0026ldquo;Through my research, I am aiming to develop tools that alleviate issues for applications that produce data that is too large or too complex to be stored and analyzed with HPC.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHayashi\u0026rsquo;s focus in HPC examines applications in data analysis and emphasizes scalable algorithms and software for the mining, analysis, and compression of data that may be modeled by tensors and hypergraphs.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Specifically, my focus is on non-negative matrix factorization (NMF) and its variants, tensor factorizations and joint factorizations,\u0026rdquo; he said. \u0026ldquo;My goal is to demonstrate the usefulness of these methods combined with developing efficient implementations to allow researchers in various domains to utilize them in their work.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE Professors\u0026nbsp;\u003Cstrong\u003EHaesun Park\u0026nbsp;\u003C\/strong\u003Eand\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u0026nbsp;\u003C\/strong\u003Eadvise Hayashi\u003Cstrong\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is a very exciting and well-deserved opportunity,\u0026rdquo; said Vuduc. \u0026ldquo;What makes Koby\u0026rsquo;s proposed research, which is on graph and hypergraph clustering using NMF and tensor methods, especially impactful is his emphasis on interpretability,\u0026nbsp;which is\u0026nbsp;basically giving end-users analysis results that are easier to understand.\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe DOE CSGF will provide Hayashi with a yearly stipend of $37,000, payment of full tuition and required fees during the appointment period, an academic allowance, up to four years of total support, and a 12-week practicum experience at one of the 21 DOE national laboratories or sites.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Ph.D. student Koby Hayashi wins the prestigious DOE CSG Fellowship focused on HPC."}],"uid":"34540","created_gmt":"2019-04-08 16:10:14","changed_gmt":"2019-08-23 20:34:24","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-04-08T00:00:00-04:00","iso_date":"2019-04-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"620186":{"id":"620186","type":"image","title":"Koby Hayashi Presents at HiPC","body":null,"created":"1554739389","gmt_created":"2019-04-08 16:03:09","changed":"1554739389","gmt_changed":"2019-04-08 16:03:09","alt":"Koby Hayashi presenting on stage at HiPC in India.","file":{"fid":"236130","name":"Koby Hayashi Photo.jpg","image_path":"\/sites\/default\/files\/images\/Koby%20Hayashi%20Photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Koby%20Hayashi%20Photo.jpg","mime":"image\/jpeg","size":342225,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Koby%20Hayashi%20Photo.jpg?itok=vinMQCqr"}}},"media_ids":["620186"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"}],"keywords":[{"id":"2827","name":"Department of Engergy"},{"id":"4549","name":"coc"},{"id":"4305","name":"cse"},{"id":"180982","name":"Koby Hayashi"},{"id":"181217","name":"cse-hpc"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"622759":{"#nid":"622759","#data":{"type":"news","title":"New Methods of Reordering Sparse Tensors Show Measurable Increases in Speed","body":[{"value":"\u003Cp\u003EA team of researchers, which includes several\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u0026nbsp;\u003C\/a\u003E(CSE) faculty, has created two tensor reordering methods, BFS-MCS and Lexi-Order, that are proven to be more effective for storing and operating efficiently with sparse tensors than current state-of-the-art approaches.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn modern multicore central processing units, the reordering algorithm Lexi-Order obtains up to 4.14 times speedup on sequential HiCOO-MTTKRP \u0026ndash; a sparse tensor format with one of the most computationally expensive kernels in sparse tensor computations \u0026ndash; and 11.88 times speedup on its parallel counterpart.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe full findings from the\u0026nbsp;\u003Ca href=\u0022http:\/\/fruitfly1026.github.io\/static\/files\/ics19-li.pdf\u0022\u003Epaper\u003C\/a\u003E\u0026nbsp;introducing these methods will be presented this Thursday, June 27, at the\u0026nbsp;\u003Ca href=\u0022https:\/\/ics19.eecis.udel.edu\/\u0022\u003EInternational Conference on Supercomputing\u003C\/a\u003E\u0026nbsp;(ICS).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor those new to tensors, a tensor is an algebraic object related to space that provides a natural and concise mathematical framework for formulating and solving problems in computational science. These objects are represented in the form of cubes, with the X and Y axis depths ranging according to the size of data entries they can hold.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETensors are fed information in the form of numeric data from a variety of applications but, oftentimes, these entries mainly consist of zeroes. In these instances, the tensors are considered sparse and do not need to be stored or explicitly computed on.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe primary investigator of this research,\u0026nbsp;\u003Cstrong\u003EJiajia Li\u003C\/strong\u003E, is a staff scientist at the\u0026nbsp;\u003Ca href=\u0022http:\/\/hpc.pnl.gov\/\u0022\u003EHigh Performance Computing (HPC) group\u003C\/a\u003E\u0026nbsp;of Pacific Northwest National Laboratory (PNNL) and recent doctoral graduate of CSE. Li has led research on sparse tensors in the past, including\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/breaking-news-sc18-papers-program-and-awards-finalists-posted\/\u0022\u003ESupercomputing 2018 Best Student Paper Award\u003C\/a\u003E\u0026nbsp;winning work,\u0026nbsp;\u003Ca href=\u0022http:\/\/fruitfly1026.github.io\/static\/files\/sc18-li.pdf\u0022\u003EHiCOO\u003C\/a\u003E, which this new work builds upon.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/news\/615074\/hicoo-takes-home-best-student-paper-title-supercomputing-2018-creating-new-storage\u0022\u003E[See Related: HiCOO Takes Home Best Student Paper Title of Supercomputing 2018 by Creating a New Storage Format]\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;A sparse tensor is often a natural way to represent a multifactor or multi-relational dataset, and has found numerous applications in data analysis and mining for healthcare, natural language processing, machine learning, and social network analytics, among many others,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This paper formalizes the problem of reordering a sparse tensor to improve the spatial and temporal locality of operations within it, and proposes two reordering algorithms for this problem.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Li, there are a variety of data structures and techniques for storing and operating efficiently with sparse tensors. One technique is to reorder the tensor, which means relabeling the indices \u0026ndash; and, therefore, reorganizing the nonzero structure of the tensor.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne form of reordering explored in prior work is to sort the input tensor which can improve locality, but simultaneously aggravates load balance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe said, \u0026ldquo;We observe that reordering increases imbalance by as much as 6.7 times in practice. In this paper, we propose improvements to the data structure and corresponding algorithms that address this problem. A new partition-based superblock scheduling is also proposed for the HiCOO format to improve load balance.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe team of investigators for this paper include Li, PNNL Team Lead Scientist\u0026nbsp;\u003Cstrong\u003EKevin Barker,\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022http:\/\/www.cnrs.fr\/en\/cnrs\u0022\u003EFrench National Center for Scientific Research\u003C\/a\u003E\u0026nbsp;Scientist\u0026nbsp;\u003Cstrong\u003EBora Ucar,\u0026nbsp;\u003C\/strong\u003Eand CSE Professors\u0026nbsp;\u003Cstrong\u003EUmit Catalyurek\u003C\/strong\u003E,\u0026nbsp;\u003Cstrong\u003EJimeng Sun\u003C\/strong\u003E, and\u0026nbsp;\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe code is released as part of Parallel Tensor Infrastructure (ParTI!) and can be found\u0026nbsp;\u003Ca href=\u0022https:\/\/github.com\/hpcgarage\/ParTI\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE faculty and alumni creating new methods for increasing speed of operations within sparse tensors."}],"uid":"34540","created_gmt":"2019-06-25 17:31:36","changed_gmt":"2019-08-23 20:29:47","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-06-25T00:00:00-04:00","iso_date":"2019-06-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"622758":{"id":"622758","type":"image","title":"Sparse Tensor Reordering - ICS 2019","body":null,"created":"1561483552","gmt_created":"2019-06-25 17:25:52","changed":"1561483552","gmt_changed":"2019-06-25 17:25:52","alt":"Comparison of HiCOO representations before and after Lexi-Order.","file":{"fid":"237173","name":"Screen Shot 2019-06-25 at 1.25.03 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202019-06-25%20at%201.25.03%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202019-06-25%20at%201.25.03%20PM.png","mime":"image\/png","size":84005,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202019-06-25%20at%201.25.03%20PM.png?itok=hQnG5uc_"}}},"media_ids":["622758"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"167322","name":"supercomputing"},{"id":"3427","name":"High performance computing"},{"id":"181217","name":"cse-hpc"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"624503":{"#nid":"624503","#data":{"type":"news","title":"Students Now Have the Opportunity for Hands-on Supercomputing Experience ","body":[{"value":"\u003Cp\u003EStudents have one more compelling reason to study computing at Georgia Tech: they now have access to work on a state-of-the-art supercomputer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-systems\/\u0022\u003ENVIDIA DGX-1 supercomputer\u003C\/a\u003E\u0026nbsp;is a specialty graphics processing unit (GPU)-based platform designed to facilitate faster and more efficient big data sequencing, machine learning (ML), and deep learning processes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There aren\u0026rsquo;t many computers or servers significant enough to be recognizable by model name. But, a DGX-1 is well-known throughout the computing community, particularly by the artificial intelligence and machine learning crowd,\u0026rdquo; said\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Research Technologist\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/william-powell\u0022\u003EWill Powell\u003C\/a\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough the DGX-1 is a well-known system, these high-profile computers are not normally accessible to the broader computational science community because of their cost, which is why this opportunity is unique\u0026nbsp;for Georgia Tech students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE won funding for the DGX-1 as part of a bid approved in this fiscal year\u0026rsquo;s campus\u0026nbsp;\u003Ca href=\u0022https:\/\/support.cc.gatech.edu\/resources\/technology-fees\u0022\u003ETechnology Fee Funding.\u003C\/a\u003E\u0026nbsp;This institute-level program is orchestrated by a committee comprised of faculty, staff, and students that review proposals from across campus to purchase various technologies for instruction and learning.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;CSE strives to cultivate a diverse computing environment with ground-breaking technologies, such as the DGX-1. Providing students with the opportunity to use and study best-in-class, forward-thinking architectures allows us to further pioneer new computational methods,\u0026rdquo;\u0026nbsp;said Powell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe DGX-1 will\u0026nbsp;become available for the Fall 2019 semester in the data and visual analytics classes (CX4242 and CSE6242) taught by Lecturer\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/mahdi-roozbahani\u0022\u003EMahdi Roozbahani\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Eand Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E. Students in these classes will use\u0026nbsp;this\u0026nbsp;platform\u0026nbsp;to accelerate computational analysis performed on large-scale real-world datasets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is a great opportunity for students to have access to a high performance platform designed for artificial intelligence, ML, deep learning, and analytics,\u0026rdquo; said Joint CSE and NVIDIA Senior Graph Software Engineer\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/people\/oded-green\u0022\u003EOded Green\u003C\/a\u003E\u003C\/strong\u003E,\u0026nbsp;whose research focuses\u0026nbsp;on improving the performance and scalability of large-scale graph analytics using platforms such as the DGX-1.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe DGX-1 is powered by 8 NVIDIA TESLA V100 GPUs, has over 40,000 CUDA Cores, 5,000 Tensor cores, and 1,000 TFLOPS built specially for deep learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnd while the DGX-1 arriving at Georgia Tech for student-use is exciting enough, there is cause for more celebration as a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-station\/\u0022\u003EDGX Station\u003C\/a\u003E\u0026nbsp;also arrived this year as part of the new\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/research\/\u0022\u003ENVIDIA Artificial Intelligence (AI) Lab\u003C\/a\u003E\u0026nbsp;(NVAIL) grant\u0026nbsp;awarded to CSE.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NVAIL grant focuses on developing multi-GPU graph analytics and the DGX station is constructed specifically for data science and artificial intelligence development. The station will be used for graduate students and researchers associated with the NVAIL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[Related News:\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/620742\/two-new-nvidia-collaborations-awarded-georgia-tech-school-cses-leadership\u0022\u003ETwo New NVIDIA Collaborations Awarded to Georgia Tech with School of CSE\u0026rsquo;s Leadership\u003C\/a\u003E\u003C\/strong\u003E]\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE acquires a supercomputer for hands-on student experience."}],"uid":"34540","created_gmt":"2019-08-14 15:56:06","changed_gmt":"2019-08-14 16:39:55","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-08-14T00:00:00-04:00","iso_date":"2019-08-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"624505":{"id":"624505","type":"image","title":"DGX1-Inside","body":null,"created":"1565798986","gmt_created":"2019-08-14 16:09:46","changed":"1565798986","gmt_changed":"2019-08-14 16:09:46","alt":"Image of the racks of CUDA cores inside a DGX-1 supercomputer","file":{"fid":"237802","name":"DGX1-3.jpg","image_path":"\/sites\/default\/files\/images\/DGX1-3.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DGX1-3.jpg","mime":"image\/jpeg","size":681892,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DGX1-3.jpg?itok=HbRAy-Rp"}}},"media_ids":["624505"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"181217","name":"cse-hpc"},{"id":"181315","name":"cse-dse"},{"id":"167325","name":"supercomputer"},{"id":"167322","name":"supercomputing"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"306841":{"#nid":"306841","#data":{"type":"news","title":"Designing Super Long-Lasting Computers","body":[{"value":"\u003Cp\u003EThink of the perfect embedded computer. Think of a computer so energy-efficient that it can last 75 times longer than today\u2019s systems. Researchers at Georgia Tech are helping the Defense Advanced Projects Research Agency (DARPA) develop such a computer as part of an initiative called Power Efficiency Revolution for Embedded Computing Technologies, or PERFECT.\u003C\/p\u003E\u003Cp\u003E\u201cThe program is looking at how do we come to a new paradigm of computing where running time isn\u2019t necessarily the constraint, but how much power and battery that we have available is really the new constraint,\u201d says \u003Ca href=\u0022http:\/\/www.cse.gatech.edu\/people\/david-bader\u0022 target=\u0022_blank\u0022\u003EDavid Bader\u003C\/a\u003E, executive director of high-performance computing at the School of Computational Science and Engineering.\u003C\/p\u003E\u003Cp\u003EIf the project is successful, it could result in computers far smaller and orders of magnitude more efficient than today\u2019s machines. It could also mean that the computer mounted tomorrow on an unmanned aircraft or ground vehicle, or even worn by a soldier would use less energy than a larger device, while still being as powerful.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s part in the DARPA-led PERFECT effort is called GRATEFUL, which stands for Graph Analysis Tackling power-Efficiency, Uncertainty and Locality. Headed by Bader and co-investigator \u003Ca href=\u0022http:\/\/www.cse.gatech.edu\/people\/edward-riedy\u0022 target=\u0022_blank\u0022\u003EJason Riedy\u003C\/a\u003E, GRATEFUL focuses on algorithms that would process vast stores of data and turn it into a graphical representation in the most energy-efficient way possible.\u003C\/p\u003E\u003Cp\u003EThe ultimate goal is to get an algorithmic framework that delivers supercomputer capabilities on a small, power-restricted platform.\u003C\/p\u003E\u003Cp\u003EOne approach to reducing power consumption is to reduce the level of data collection. For example, when looking for a needle in a haystack, you don\u2019t necessarily need to inspect every piece of hay. \u201cWhat we\u2019re looking at is collecting the minimal data necessary to make accurate decisions,\u201d Bader says.\u003C\/p\u003E\u003Cp\u003EFor now, the Tech team is applying GRATEFUL to social network analysis. But that same technology could also be used for any number of security applications, such as identifying hackers trying to break into a network. And, eventually, the technology developed under GRATEFUL could find its way onto smaller, more efficient computers in unmanned aerial vehicles or worn by soldiers.\u003C\/p\u003E\u003Cp\u003EThe team is currently one year into a potentially five-year effort. Bader says most of the work is still in the elementary stages, but the team is developing proofs of concept software. \u201cOur goal is to create architecture-independent software that can run across multiple hardware platforms and still perform extremely well,\u201d he says.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Many top defense technologies get their start in Tech\u2019s labs."}],"uid":"27255","created_gmt":"2014-07-03 11:53:35","changed_gmt":"2016-10-08 03:16:41","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-07-03T00:00:00-04:00","iso_date":"2014-07-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"272011":{"id":"272011","type":"image","title":"David Bader","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"David Bader","file":{"fid":"198654","name":"david_bader_in_office.jpg","image_path":"\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","mime":"image\/jpeg","size":5387690,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/david_bader_in_office_0.jpg?itok=FODi6WVq"}},"306891":{"id":"306891","type":"image","title":"David A. Bader working in the lab with Dan Campbell","body":null,"created":"1449244708","gmt_created":"2015-12-04 15:58:28","changed":"1475895015","gmt_changed":"2016-10-08 02:50:15","alt":"David A. Bader working in the lab with Dan Campbell","file":{"fid":"199760","name":"bader__campbell_0.jpg","image_path":"\/sites\/default\/files\/images\/bader__campbell_0_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/bader__campbell_0_0.jpg","mime":"image\/jpeg","size":919248,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/bader__campbell_0_0.jpg?itok=aUfcZuNG"}}},"media_ids":["272011","306891"],"related_links":[{"url":"http:\/\/www.cc.gatech.edu\/~bader\/","title":"High-Performance Computing"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"147","name":"Military Technology"}],"keywords":[{"id":"4305","name":"cse"},{"id":"690","name":"darpa"},{"id":"13255","name":"david bader"},{"id":"97191","name":"Graph Analysis Tackling power-Efficiency"},{"id":"97221","name":"GRATEFUL"},{"id":"3427","name":"High performance computing"},{"id":"97211","name":"Jason Riedy"},{"id":"97181","name":"or PERFECT"},{"id":"97171","name":"Power Efficiency Revolution for Embedded Computing Technologies"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"97201","name":"Uncertainty and Locality"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39481","name":"National Security"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003ECollege of Computing\u003Cbr \/\u003Ejosie@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"271971":{"#nid":"271971","#data":{"type":"news","title":"David Bader Selected as One of HPCWire\u2019s \u201cPeople to Watch\u201d in 2014","body":[{"value":"\u003Cp\u003EThe College of Computing at the Georgia Institute of Technology, one of only two major universities to house its computing program within a college of its own, today announced that\u0026nbsp;David A. Bader, professor and executive director of High Performance Computing, has been selected as one of\u0026nbsp;\u003Cem\u003EHPCWire\u003C\/em\u003E\u2019s\u0026nbsp;\u201cPeople to Watch\u201d\u0026nbsp;in 2014.\u003C\/p\u003E\u003Cp\u003EThe 2014 list is a compilation of the 16 best and brightest minds from academia, science, and technology whose contributions in high performance computing (HPC) have the potential to profoundly impact the world this year and beyond. Finalists are selected\u0026nbsp;following an extensive review process by the\u0026nbsp;\u003Cem\u003EHPCwire\u0026nbsp;\u003C\/em\u003Eeditorial and executive staff along with guidance from industry analysts and luminaries across the HPC community.\u003C\/p\u003E\u003Cp\u003EAlthough\u0026nbsp;\u003Cem\u003EHPCwire\u003C\/em\u003E\u0026nbsp;has recognized Bader as a \u201cperson to watch\u201d before, he continues to garner attention and recognition for his work in big data at the intersection where high performance computing meets real-world applications.\u003C\/p\u003E\u003Cp\u003EAmong his many achievements, Bader led an effort that resulted in a nearly $2 million dollar grant for researchers at Georgia Tech and the University of Southern California to bring supercomputing capabilities into the grasp of tablets, smart phones, and other devices.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.hpcwire.com\/people-watch-2014\/david-bader-2\/\u0022\u003ERead more\u003C\/a\u003E\u0026nbsp;about Bader and his thoughts on the trends in HPC for 2014.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EThe College of Computing at the Georgia Institute of Technology, one of only two major universities to house its computing program within a college of its own, today announced that David A. Bader, professor and executive director of High Performance Computing, has been selected as one of \u003Cem\u003EHPCWire\u003C\/em\u003E\u2019s \u201cPeople to Watch\u201d in 2014.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"HPCWire\u2019s Annual List Pays Tribute to the Best and Brightest Minds in HPC."}],"uid":"27255","created_gmt":"2014-01-28 14:00:58","changed_gmt":"2016-10-08 03:15:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-01-27T00:00:00-05:00","iso_date":"2014-01-27T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"50723":{"id":"50723","type":"image","title":"David Bader","body":null,"created":"1449175437","gmt_created":"2015-12-03 20:43:57","changed":"1475894471","gmt_changed":"2016-10-08 02:41:11","alt":"David Bader","file":{"fid":"128822","name":"david-bader.jpg","image_path":"\/sites\/default\/files\/images\/david-bader_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/david-bader_1.jpg","mime":"image\/jpeg","size":11717,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/david-bader_1.jpg?itok=ii5PugBG"}},"272011":{"id":"272011","type":"image","title":"David Bader","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"David Bader","file":{"fid":"198654","name":"david_bader_in_office.jpg","image_path":"\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","mime":"image\/jpeg","size":5387690,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/david_bader_in_office_0.jpg?itok=FODi6WVq"}},"272001":{"id":"272001","type":"image","title":"David Bader and Dan Campbell","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"David Bader and Dan Campbell","file":{"fid":"198653","name":"badercampbell.jpg","image_path":"\/sites\/default\/files\/images\/badercampbell_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/badercampbell_0.jpg","mime":"image\/jpeg","size":126674,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/badercampbell_0.jpg?itok=AX-XujdX"}},"271991":{"id":"271991","type":"image","title":"Mark Richards, David Bader, and Dan Campbell","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"Mark Richards, David Bader, and Dan Campbell","file":{"fid":"198652","name":"62602.jpeg","image_path":"\/sites\/default\/files\/images\/62602.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/62602.jpeg","mime":"image\/jpeg","size":1219104,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/62602.jpeg?itok=buNvZaSq"}}},"media_ids":["50723","272011","272001","271991"],"related_links":[{"url":"http:\/\/www.hpcwire.com\/off-the-wire\/hpcwire-reveals-2014-people-watch\/","title":"HPCWire\u2019s \u201cPeople to Watch\u201d"},{"url":"http:\/\/www.cc.gatech.edu\/people\/david-bader","title":"David A. Bader"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"84371","name":"David Bader; XScala; Supercomputing; Graph500; Sandia National Laboratories; high-performance computing"},{"id":"702","name":"hpc"},{"id":"85131","name":"HPCwire"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIDH Marketing Communications\u003Cbr \/\u003E404-385-8551\u003C\/p\u003E","format":"limited_html"}],"email":["josie@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"255531":{"#nid":"255531","#data":{"type":"news","title":"Georgia Tech Close to Choosing Project Manager for High Performance Computing Center","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EThis story was written by\u0026nbsp;\u003Ca href=\u0022http:\/\/www.bizjournals.com\/atlanta\/bio\/8761\/Douglas+Sams\u0022 rel=\u0022author\u0022 target=\u0022_blank\u0022 data-cke-saved-href=\u0022http:\/\/www.bizjournals.com\/atlanta\/bio\/8761\/Douglas+Sams\u0022\u003EDouglas Sams\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;originally appeared in the\u0026nbsp;\u003Ca href=\u0022http:\/\/www.bizjournals.com\/atlanta\/print-edition\/2013\/11\/15\/tech-close-to-naming-project-manager.html\u0022 target=\u0022_blank\u0022 data-cke-saved-href=\u0022http:\/\/www.bizjournals.com\/atlanta\/print-edition\/2013\/11\/15\/tech-close-to-naming-project-manager.html\u0022\u003EAtlanta Business Chronicle\u003C\/a\u003E\u0026nbsp;on November 15, 2013.\u0026nbsp;\u003C\/em\u003E\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EGeorgia Tech is close to choosing the project manager for its nearly 700,000-square-foot High Performance Computing Center.\u0026nbsp;The decision could come in weeks, said\u0026nbsp;\u003Ca href=\u0022http:\/\/pubads.g.doubleclick.net\/pagead\/adview?ai=Bzo1nL52GUsLJB4mzlwfS_4HIDOGygMUEAAAAEAEgADgAWKnO7viGAWDJvrmH4KO0EIIBF2NhLXB1Yi05NzM2MDkyNjA0Njc3NTE2sgETd3d3LmJpempvdXJuYWxzLmNvbboBCWdmcF9pbWFnZcgBCdoBbmh0dHA6Ly93d3cuYml6am91cm5hbHMuY29tL2F0bGFudGEvcHJpbnQtZWRpdGlvbi8yMDEzLzExLzE1L3RlY2gtY2xvc2UtdG8tbmFtaW5nLXByb2plY3QtbWFuYWdlci5odG1sP3BhZ2U9YWxsmALAuALAAgLgAgDqAh00NjM1L2J6ai5hdGxhbnRhL2FydGljbGVfcGFnZfgCgtIekAOkA5gDpAOoAwHgBAGSBQkIBxgBIMHHuRigBiA\u0026amp;sigh=fgDLRU2zy50\u0026amp;adurl=http:\/\/pagead2.googlesyndication.com\/pagead\/imgad\/1482981\/Interstitial%20Template%202014.html%3Ft%3D10%26cT%3Dhttp%253A\/\/bizjournals.com%26l%3Dhttp%253A\/\/www.bizjournals.com\/atlanta\/search\/results%253Fq%253DJohn%252520Majeroni\u0022 data-cke-saved-href=\u0022http:\/\/pubads.g.doubleclick.net\/pagead\/adview?ai=Bzo1nL52GUsLJB4mzlwfS_4HIDOGygMUEAAAAEAEgADgAWKnO7viGAWDJvrmH4KO0EIIBF2NhLXB1Yi05NzM2MDkyNjA0Njc3NTE2sgETd3d3LmJpempvdXJuYWxzLmNvbboBCWdmcF9pbWFnZcgBCdoBbmh0dHA6Ly93d3cuYml6am91cm5hbHMuY29tL2F0bGFudGEvcHJpbnQtZWRpdGlvbi8yMDEzLzExLzE1L3RlY2gtY2xvc2UtdG8tbmFtaW5nLXByb2plY3QtbWFuYWdlci5odG1sP3BhZ2U9YWxsmALAuALAAgLgAgDqAh00NjM1L2J6ai5hdGxhbnRhL2FydGljbGVfcGFnZfgCgtIekAOkA5gDpAOoAwHgBAGSBQkIBxgBIMHHuRigBiA\u0026amp;sigh=fgDLRU2zy50\u0026amp;adurl=http:\/\/pagead2.googlesyndication.com\/pagead\/imgad\/1482981\/Interstitial%20Template%202014.html%3Ft%3D10%26cT%3Dhttp%253A\/\/bizjournals.com%26l%3Dhttp%253A\/\/www.bizjournals.com\/atlanta\/search\/results%253Fq%253DJohn%252520Majeroni\u0022\u003EJohn Majeroni\u003C\/a\u003E, Georgia Tech\u2019s executive director of real estate development.\u0026nbsp;The proposed project is an expansion of Technology Square, an influential development that has helped anchor the southern end of Midtown at Spring and Fifth streets.\u003C\/p\u003E\u003Cp\u003EOne of the most likely sites for the High Performance Computing Center is the historic Crum \u0026amp; Forster building. All that remains of that building is, basically, the facade.\u0026nbsp;Preservationists wanted to keep the entire building.\u0026nbsp;Georgia Tech said two-thirds of it needed to be demolished to make room for the computing center. Earlier this year, a consent order issued by a Fulton County Superior Court judge paved the way for plans to move ahead.\u003C\/p\u003E\u003Cp\u003EOther sites could be chosen, instead, Majeroni said.\u0026nbsp;\u201cWe always consider other locations before a project is finalized,\u201d he said.\u003C\/p\u003E\u003Cp\u003EWhile a project manager may be named in a matter of weeks, it could take at least a year to find out who wins the job as developer.\u0026nbsp;The earliest Tech might issue requests for qualifications is next fall, Majeroni said. The developer would design, finance and own the project.\u003C\/p\u003E\u003Cp\u003ETech would help anchor the building. The school would enter a long-term lease for about 50 percent of the space, and that could include Georgia Tech business functions. The space could also house data center operations, among other uses.\u0026nbsp;Less is known about what kinds of tenants a developer might target for the project, though companies that depend on high-performance data and network applications and others that involve genetic modeling for biotech and medical firms are options.\u0026nbsp;Three years ago, Princeton University launched a similar project.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETechnology Square is a more than 1 million-square-foot development Georgia Tech started 10 years ago that expanded the campus across the Downtown Connector.\u0026nbsp;Technology Square spans eight blocks, and it has been a catalyst for new real estate development.\u0026nbsp;The latest example: a 22-story tower to be developed by Gateway Development and South City Partners LLC. The residential tower is meant to add a missing piece to the overall project.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EGeorgia Tech is close to choosing the project manager for its nearly 700,000-square-foot High Performance Computing Center. The decision could come in weeks, said\u0026nbsp;\u003Ca href=\u0022http:\/\/pubads.g.doubleclick.net\/pagead\/adview?ai=Bzo1nL52GUsLJB4mzlwfS_4HIDOGygMUEAAAAEAEgADgAWKnO7viGAWDJvrmH4KO0EIIBF2NhLXB1Yi05NzM2MDkyNjA0Njc3NTE2sgETd3d3LmJpempvdXJuYWxzLmNvbboBCWdmcF9pbWFnZcgBCdoBbmh0dHA6Ly93d3cuYml6am91cm5hbHMuY29tL2F0bGFudGEvcHJpbnQtZWRpdGlvbi8yMDEzLzExLzE1L3RlY2gtY2xvc2UtdG8tbmFtaW5nLXByb2plY3QtbWFuYWdlci5odG1sP3BhZ2U9YWxsmALAuALAAgLgAgDqAh00NjM1L2J6ai5hdGxhbnRhL2FydGljbGVfcGFnZfgCgtIekAOkA5gDpAOoAwHgBAGSBQkIBxgBIMHHuRigBiA\u0026amp;sigh=fgDLRU2zy50\u0026amp;adurl=http:\/\/pagead2.googlesyndication.com\/pagead\/imgad\/1482981\/Interstitial%20Template%202014.html%3Ft%3D10%26cT%3Dhttp%253A\/\/bizjournals.com%26l%3Dhttp%253A\/\/www.bizjournals.com\/atlanta\/search\/results%253Fq%253DJohn%252520Majeroni\u0022\u003EJohn Majeroni\u003C\/a\u003E, Georgia Tech\u2019s executive director of real estate development. The proposed project is an expansion of Technology Square, an influential development that has helped anchor the southern end of Midtown at Spring and Fifth streets.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech is close to choosing the project manager for its nearly 700,000-square-foot High Performance Computing Center."}],"uid":"27255","created_gmt":"2013-11-15 21:50:06","changed_gmt":"2016-10-08 03:15:22","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2013-11-15T00:00:00-05:00","iso_date":"2013-11-15T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"related_links":[{"url":"http:\/\/idh.gatech.edu\/","title":"Institute for Data \u0026 High Performance Computing"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"3427","name":"High performance computing"},{"id":"80271","name":"HPC Building"},{"id":"3263","name":"technology square"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003EIDH Marketing Communications\u003Cbr \/\u003E404-385-8551\u003C\/p\u003E","format":"limited_html"}],"email":["josie@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"171141":{"#nid":"171141","#data":{"type":"news","title":"Keeneland Project Deploys New GPU Supercomputing System for the National Science Foundation","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EATLANTA \u2013 Nov. 14, 2012 \u2013\u003C\/strong\u003E Georgia Tech, along with partner research organizations on the Keeneland Project, including the University of Tennessee-Knoxville, the National Institute for Computational Sciences and Oak Ridge National Laboratory, announced today that the project has completed installation and acceptance of the Keeneland Full Scale System (KFS). This supercomputing system, which is available to the National Science Foundation (NSF) scientific community, is designed to meet the compute-intensive needs of a wide range of applications through the use of NVIDIA GPU technology. In achieving this milestone, KFS is the most powerful GPU supercomputer available for research through NSF\u2019s Extreme Science and Engineering Discovery Environment (XSEDE) program.\u003C\/p\u003E\u003Cp\u003E\u201cKeeneland provides an important capability for the NSF computational science community,\u201d says Jeffrey Vetter, Principal Investigator and Project Director, with a joint appointment to Georgia Tech\u0027s College of Computing and Oak Ridge National Laboratory. \u201cMany users are running production science applications on GPUs with performance that would not be possible on other systems.\u201d\u003C\/p\u003E\u003Cp\u003EScientists will be able to use the resource to create breakthroughs in many fields of science. For the past 20 months, the Keeneland Initial Delivery System (KIDS) has been used for research in both computer science and computational science, and has included applications in astronomical sciences, atmospheric sciences, behavioral and neural sciences, biological and critical systems, materials research and mechanical and structural systems, along with many other application areas. Much of the research will continue on KFS.\u003C\/p\u003E\u003Cp\u003EKeeneland\u2019s early users note how the system\u2019s capabilities have significantly advanced their research application areas.\u003C\/p\u003E\u003Cp\u003E\u201cThe Infiniband communication is now fast enough so that I can run my program on more GPUs to achieve better performance,\u201d says Jens Glaser, a post-doctoral associate in chemical engineering and materials science at the University of Minnesota. Glaser believes his research results demonstrate that the KFS\u0027 hardware is a significant step forward in supercomputing.\u003C\/p\u003E\u003Cp\u003EAstrophysics researcher Jamie Lombardi, an associate professor in the Department of Physics at Allegheny College, says Keeneland is easily the fastest system he has used. Lombardi uses his hydrodynamics code Starsmasher to simulate the collision and merger of two stars. The dynamics of the gas are parallelized on the CPU cores, while the gravity calculations are parallelized on the GPUs.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cRunning on one node of KFS is nearly a factor of three faster than running on one node of my local cluster,\u201d says Lombardi. \u201cThe availability of such a large number of nodes on KFS makes it possible for me to run higher resolution simulations than I have ever run before.\u201d\u003C\/p\u003E\u003Cp\u003EThe Keeneland Full Scale System is a 615 TFLOPS HP Proliant SL250-based supercomputer with 264 nodes, where each node contains two Intel Sandy Bridge processors, three NVIDIA M2090 GPU accelerators, 32 GB of host memory, and a Mellanox InfiniBand FDR interconnection network. KFS has delivered sustained performance of over a quarter of a PetaFLOP (one quadrillion calculations per second) in initial testing. The system is space efficient in that it occupies about 400 square feet, including the space for in-row cooling and service areas.\u003C\/p\u003E\u003Cp\u003EDuring the KFS installation and acceptance testing, the initial delivery system, KIDS, was used to start production capacity for XSEDE users seeking to run their applications on the system and who had received allocations for Keeneland through a peer review process. KIDS was upgraded with newer GPUs and used for software and application development and for pre-production testing of codes that utilize the GPU accelerators in the Keeneland systems. Even before KFS began production, allocation requests for time greater than the total available for its lifecycle had been received from XSEDE application users.\u003C\/p\u003E\u003Cp\u003E\u201cOur Keeneland Initial Delivery system has hosted over 130 projects and 200 users over the past two years,\u201d says Vetter. \u201cRequests for access to Keeneland have far outstripped the planned resource delivery, sometimes by as much as twice the availability.\u201d\u003C\/p\u003E\u003Cp\u003EThe Keeneland Project is a five-year Track 2D cooperative agreement, which was awarded by NSF under Contract OCI-0910735 in 2009 for the deployment of an innovative high performance computing system to the open science community. The Georgia Institute of Technology, University of Tennessee-Knoxville, the National Institute for Computational Sciences, and Oak Ridge National Laboratory manage the facility, perform education and outreach activities for advanced architectures, develop and deploy software tools for this class of architecture to ensure productivity, and team with early adopters to map their applications to Keeneland architectures.\u003C\/p\u003E\u003Cp\u003ETo learn more about Keeneland or XSEDE, visit \u003Ca href=\u0022http:\/\/keeneland.gatech.edu\u0022 target=\u0022_self\u0022\u003Ehttp:\/\/keeneland.gatech.edu\u003C\/a\u003E or \u003Ca href=\u0022https:\/\/www.xsede.org\/\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/www.xsede.org\/\u003C\/a\u003E, respectively.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E###\u003C\/p\u003E\u003Cp\u003E\u003Cbr \/\u003E\u003Cstrong\u003EContacts\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EJoshua Preston\u003C\/p\u003E\u003Cp\u003ECommunications Officer\u003C\/p\u003E\u003Cp\u003ECollege of Computing at Georgia Tech\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu\u0022\u003Ejpreston@cc.gatech.edu \u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E678-231-0787\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EATLANTA \u2013 Nov. 14, 2012 \u2013\u003C\/strong\u003E Georgia Tech, along with partner research organizations on the Keeneland Project, including the University of Tennessee-Knoxville, the National Institute for Computational Sciences and Oak Ridge National Laboratory, announced today that the project has completed installation and acceptance of the Keeneland Full Scale System (KFS). \u003Cem\u003ESource: Office of Communications\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":"","uid":"27174","created_gmt":"2012-11-14 12:16:01","changed_gmt":"2016-10-08 03:13:10","author":"Mike Terrazas","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2012-11-14T00:00:00-05:00","iso_date":"2012-11-14T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"3427","name":"High performance computing"},{"id":"702","name":"hpc"},{"id":"50341","name":"jeffrey vetter"},{"id":"50331","name":"keeneland"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"167322","name":"supercomputing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosh Preston\u003C\/p\u003E\u003Cp\u003ECommunications Officer\u003C\/p\u003E\u003Cp\u003ECollege of Computing\u003C\/p\u003E\u003Cp\u003E678-231-0787\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":["jpreston@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"62879":{"#nid":"62879","#data":{"type":"news","title":"Georgia Tech-Led Team Wins Gordon Bell Prize for Supercomputing","body":[{"value":"\u003Cp\u003EATLANTA \u2013 Nov. 22, 2010 \u2013 A team led by George Biros, associate professor in Georgia Tech\u2019s School of Computational Science \u0026amp; Engineering (CSE), has won the Association for Computing Machinery\u2019s Gordon Bell Prize for the world\u2019s fastest supercomputing application. The award was announced at the Supercomputing 2010 conference, Nov. 18 in New Orleans.\u003C\/p\u003E\u003Cp\u003EBiros and his 11 teammates, which included colleagues not only from Georgia Tech but also from Oak Ridge National Laboratory (ORNL) and New York University (NYU), created a blood-flow simulation of 260 million deformable red blood cells flowing in plasma. The team ran its application on ORNL\u2019s Jaguar supercomputer. Using 196,000 of Jaguar\u2019s 224,000 processor cores, the application pushed the machine to 700 trillion calculations per second, or 700 teraflops. The simulation amounted to successful resolution of 90 billion unknown dimensions in space, and topped the previous largest blood-flow simulation (of 14,000 cells) by four orders of magnitude.\u003C\/p\u003E\u003Cp\u003E\u201cWe put this team together to tackle the mathematical and computational challenges associated with blood-flow simulation, and while our research is an important step, it is only a first step, which we hope to expand upon in the coming years,\u201d said Biros, who has a joint appointment in the Wallace H. Coulter Department of Biomedical Engineering. \u201cMoving forward, I hope this award spotlights Georgia Tech\u2019s research and contributions to high-performance computing. We are honored to have received the prize and are truly grateful for the recognition of our work by our colleagues.\u201d\u003C\/p\u003E\u003Cp\u003EThe simulation is described in a paper, \u0022Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures,\u201d presented at SC10. Georgia Tech team members included assistant professor Richard Vuduc; research technologist Logan Moon; adjunct scientist Ilya Lashuk; graduate students Abtin Rahimian and Aparna Chandramowlishwaran (both Ph.D. students in CSE), and Aashay Shringarpure (M.S. student in computer science); and former undergraduate intern Dhairya Malhotra. ORNL team members included Future Technologies group leader Jeffrey Vetter (who has a joint appointment in Georgia Tech\u0027s School of CSE) and postdoctoral researcher Rahul Sampath. Professor Dennis Zorin and postdoctoral researcher Shravan Veerapaneni were the NYU team members.\u003C\/p\u003E\u003Cp\u003E\u201cWe are very proud of George and all his teammates from such esteemed partner institutions as Oak Ridge National Lab and NYU,\u201d said Zvi Galil, John P. Imlay Jr. Dean of Computing at Georgia Tech. \u201cSupercomputing is the tool that will enable science to address some of the truly grand challenges of our time, from curing our most pernicious diseases to successfully predicting severe weather. At Georgia Tech we are committed to attracting the best high-performance computing researchers in the country\u2014and giving them the tools they need to do their work.\u201d\u003C\/p\u003E\u003Cp\u003EPart of what made the team\u2019s accomplishment so impressive is that their application simulated not artificially spherical blood cells that retain their shape, but realistic cells that deform as they move through plasma. In announcing the award, Horst Simon, associate laboratory director for computing sciences at Lawrence Berkeley National Laboratory (and a former Bell Prize winner), called the simulation a \u201cvery challenging multiscale, multiphysics problem\u201d and its successful execution \u201ca very significant accomplishment.\u201d\u003C\/p\u003E\u003Cp\u003E\u201cWe would like to thank the National Science Foundation and the \nDepartment of Energy for their support and for providing the \ncomputational resources that made these calculations possible,\u201d Biros said. \u201cOur long-term goal is to investigate the design of diagnostic \nmicrofluidic devices and develop a quantitative understanding of blood \nclotting mechanisms. The main challenge in modeling blood flow is \nresolving the hydrodynamic \ninteractions between erythrocytes with the surrounding plasma.\u201d\u003C\/p\u003E\u003Cp\u003EThe Bell Prize, named for supercomputing pioneer Gordon Bell, has been awarded every year since 1987 in recognition of the world\u2019s fastest supercomputing application. It carries a $10,000 cash prize for the winner.\u003C\/p\u003E\u003Cp\u003E###\u003Cstrong\u003E\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbout the Georgia Tech College of Computing\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech College of Computing is a national leader in the creation of real-world computing breakthroughs that drive social and scientific progress. With its graduate program ranked 10th nationally by U.S. News and World Report, the College\u2019s unconventional approach to education is defining the new face of computing by expanding the horizons of traditional computer science students through interdisciplinary collaboration and a focus on human centered solutions. For more information about the Georgia Tech College of Computing, its academic divisions and research centers, please visit \u003Ca href=\u0022http:\/\/ww.cc.gatech.edu\u0022\u003Ehttp:\/\/www.cc.gatech.edu\u003C\/a\u003E.\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003EContacts\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMichael Terrazas\u003Cbr \/\u003EAssistant Director of Communications\u003Cbr \/\u003ECollege of Computing at Georgia Tech\u003Cbr \/\u003E\u003Ca href=\u0022mailto:mterraza@cc.gatech.edu\u0022\u003Emterraza@cc.gatech.edu\u003C\/a\u003E\u003Cbr \/\u003E404-245-0707\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Application simulated 260 million blood cells flowing in plasma"}],"field_summary":[{"value":"\u003Cp\u003EATLANTA \u2013 Nov. 22, 2010 \u2013 A team led by George Biros, associate \nprofessor in Georgia Tech\u2019s School of Computational Science \u0026amp; \nEngineering (CSE), has won the Association for Computing Machinery\u2019s \nGordon Bell Prize for the world\u2019s fastest supercomputing application. \nThe award was announced at the Supercomputing 2010 conference, Nov. 18 \nin New Orleans. \u003Cem\u003ESource: Office of Communications\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A team led by School of CSE professor George Biros wins world\u0027s top supercomputing prize for simulation of 260 million blood cells flowing in plasma."}],"uid":"27174","created_gmt":"2010-11-19 16:53:45","changed_gmt":"2016-10-08 03:07:50","author":"Mike Terrazas","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2010-11-22T00:00:00-05:00","iso_date":"2010-11-22T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"62882":{"id":"62882","type":"image","title":"George Biros - Office","body":null,"created":"1449176394","gmt_created":"2015-12-03 20:59:54","changed":"1475894549","gmt_changed":"2016-10-08 02:42:29","alt":"George Biros - Office","file":{"fid":"191594","name":"100419AR050.JPG","image_path":"\/sites\/default\/files\/images\/100419AR050_0.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/100419AR050_0.JPG","mime":"image\/jpeg","size":4210566,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/100419AR050_0.JPG?itok=ytShhQTD"}}},"media_ids":["62882"],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[{"id":"3427","name":"High performance computing"},{"id":"167322","name":"supercomputing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMichael Terrazas\u003C\/p\u003E\u003Cp\u003EAssistant Director of Communications, College of Computing\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:mterraza@cc.gatech.edu\u0022\u003Emterraza@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E404-245-0707\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}