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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20210402T160556Z
LOCATION:Track 1
DTSTART;TZID=America/New_York:20201111T120500
DTEND;TZID=America/New_York:20201111T123000
UID:submissions.supercomputing.org_SC20_sess193_ws_hipar105@linklings.com
SUMMARY:Using Hierarchical Parallelism to Accelerate the Solution of Many 
 Small Partial Differential Equations
DESCRIPTION:Workshop\n\nUsing Hierarchical Parallelism to Accelerate the S
 olution of Many Small Partial Differential Equations\n\nMerson, Shephard\n
 \nThis paper presents efforts to improve the hierarchical parallelism of a
  two scale simulation code. Two methods to improve the GPU parallel  perfo
 rmance were developed  and compared.  The first used the  Nvidia Multi-Pro
 cess Service and the second moved the entire sub-problem loop into a singl
 e kernel using Kokkos hierarchical  parallelism and a PackedView data stru
 cture.  Both approaches improved parallel performance with the second meth
 od providing the greatest improvements.\n\nTag: Extreme Scale Computing, H
 eterogeneous Systems, Parallel Programming Languages, Libraries, and Model
 s, Portability, Resource Management and Scheduling, Scalable Computing\n\n
 Registration Category: Workshop Reg Pass
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