{"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":""}}}