{"603414":{"#nid":"603414","#data":{"type":"news","title":"Georgia Tech\u0027s Parallel Computing Research Leads at SIAM PP18","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026rsquo;s latest parallel computing research is being presented at the \u003Ca href=\u0022https:\/\/www.siam.org\/meetings\/pp18\/\u0022\u003ESIAM Conference on Parallel Processing for Scientific Computing\u003C\/a\u003E (SIAM PP18), at Waseda University in Tokyo this week, March 7-10. School of Computational Science and Engineering (CSE) Associate Professor \u003Ca href=\u0022http:\/\/vuduc.org\/v2\/\u0022\u003E\u003Cstrong\u003ERich Vuduc\u003C\/strong\u003E\u003C\/a\u003E is serving as the current chair of the \u003Ca href=\u0022http:\/\/www.siam.org\/activity\/supercomputing\/\u0022\u003ESIAM Activity Group on Supercomputing\u003C\/a\u003E, which is co-sponsoring the SIAM PP conference alongside the \u003Ca href=\u0022http:\/\/www2.jsiam.org\/en\/\u0022\u003EJapan Society for Industrial and Applied Mathematics\u003C\/a\u003E this year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA large number of CSE faculty members and Ph.D. students have research accepted for this year\u0026rsquo;s program and will be presenting during the week\u0026rsquo;s meetings. Of the 17 research presentations from Georgia Tech at the conference, 13 include presentations and work by CSE researchers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EParallel computing allows for larger problems to be divided into smaller ones, which then can be solved simultaneously. This type of computation is inherent to high-performance computing (HPC), but is gaining more notice in other areas of computing research because they are increasingly able to take advantage of frequency scaling, a computer architecture technique used to conserve power and reduce heat generated by the chip.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Parallel processing continues to have an increasingly big impact on physical simulation, data analytics, and artificial intelligence. The talks by Georgia Tech researchers reflect this with their particular focus on how to fundamentally advance the algorithms, data structures, and numerical methods underlying these domains,\u0026rdquo; said Vuduc.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESome of the themes emerging in this year\u0026rsquo;s work from Georgia Tech researchers demonstrate a range of parallel processing abilities and applications that stem from four main areas: data and HPC, novel systems, algorithms and libraries, and large-scale simulations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EData and HPC\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63498\u0022\u003E\u003Cstrong\u003EMS9\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca 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href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63452\u0022\u003E\u003Cstrong\u003EMS97\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAlgorithms and Libraries\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63498\u0022\u003E\u003Cstrong\u003EMS9\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63547\u0022\u003E\u003Cstrong\u003EMS14\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63499\u0022\u003E\u003Cstrong\u003EMS20\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca 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href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63494\u0022\u003E\u003Cstrong\u003EMS87\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63539\u0022\u003E\u003Cstrong\u003EMS109\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63892\u0022\u003E\u003Cstrong\u003ECP11\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELarge-scale Simulations\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63331\u0022\u003E\u003Cstrong\u003EMS102\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63629\u0022\u003E\u003Cstrong\u003EMS50\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63565\u0022\u003E\u003Cstrong\u003EMS68\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\u003Cem\u003EThe following sessions include presentations by CSE faculty and Ph.D. students.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63498\u0022\u003E\u003Cstrong\u003EMS9\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Tensor Decomposition for High Performance Data Analytics \u0026ndash; Part I of III\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHiCOO Hierarchical Storage of Sparse Tensors\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EJiajia Li, Jimeng Sun, Rich Vuduc\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63499\u0022\u003E\u003Cstrong\u003EMS20\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Tensor Decomposition for High Performance Data Analytics \u0026ndash; Part II of III\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOrganizer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ERich Vuduc\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63561\u0022\u003E\u003Cstrong\u003EMS34\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Architecture-Aware Graph Analytics \u0026ndash; Part I of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EScalable Graph Alignment on Modern Architectures\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E\u0026Uuml;mit V. \u0026Ccedil;ataly\u0026uuml;rek, Bora Ucar,\u0026nbsp;Abdurrahman Yasar\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63585\u0022\u003E\u003Cstrong\u003EMS38\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Deep Learning from HPC Perspective: Opportunities and Challenges \u0026ndash; Part II of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFaster, Smaller, and More Energy-Efficient Inference Using Codebook-based Quantization and FPGAs\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EMikhail Isaev, Jeffrey Young, Rich Vuduc\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63534\u0022\u003E\u003Cstrong\u003EMS41\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Performance Engineering from the Node level to the Extreme Scale \u0026ndash; Part II of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDesigning an Algorithm with a Tuning Knob that Controls its Power Consumption\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ESara Karamati, Jeffrey Young, Rich Vuduc\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63500\u0022\u003E\u003Cstrong\u003EMS56\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Tensor Decomposition for High Performance Data Analytics \u0026ndash; Part III of III\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOrganizer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ERich Vuduc\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63519\u0022\u003E\u003Cstrong\u003EMS58:\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E Scalable and Dynamic Graph Algorithms\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGraph Analysis: New Algorithm Models, New Architectures\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EDavid A. Bader, Oded Green, Jason Riedy\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63565\u0022\u003E\u003Cstrong\u003EMS68\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Challenges in Parallel Adaptive Mesh Refinement \u0026ndash; Part 1 of III\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStructured and Unstructured Adaptivity in PETSc\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EToby Isaac\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63478\u0022\u003E\u003Cstrong\u003EMS73\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Theory Meets Practice for High Performance Computing \u0026ndash; Part II of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFaster Parallel Tensor Compression using Randomization\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ECasey Battaglino\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63494\u0022\u003E\u003Cstrong\u003EMS87\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Innovative Methods for High Performance Iterative Solvers \u0026ndash; Part I of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EParILUT \u0026ndash; A New Parallel Threshold ILU\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EEdmond Chow\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63452\u0022\u003E\u003Cstrong\u003EMS97\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Emerging Architectural Support for Scientific Kernels \u0026ndash; Part I of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESparse Tensor Decomposition on EMU Platform\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ESrinivas Eswar, Jiajia Li, Richard Vuduc, Patrick Lavin, Jeffrey Young\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63331\u0022\u003E\u003Cstrong\u003EMS102\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Large-Scale Simulation in Geodynamics \u0026ndash; Part I of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThermal Inversion in Suduction Zones\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EToby Isaac\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63539\u0022\u003E\u003Cstrong\u003EMS109\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Techniques for Developing Massively-Parallel Linear Solvers \u0026ndash; Part I of II\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EACHILES: An Asynchronous Iterative Sparse Linear Solver\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EEdmond Chow\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63892\u0022\u003E\u003Cstrong\u003ECP11\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: Algorithms\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChair\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E\u0026Uuml;mit \u0026Ccedil;ataly\u0026uuml;rek\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EThe following sessions include presentations by Georgia Tech faculty and Ph.D. students.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/meetings.siam.org\/sess\/dsp_programsess.cfm?SESSIONCODE=63547\u0022\u003E\u003Cstrong\u003EMS14\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E: On Batched BLAS Standardization \u0026ndash; 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