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DTSTART;TZID=America/New_York:20241118T153000
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UID:submissions.supercomputing.org_SC24_sess751_ws_p3hpc122@linklings.com
SUMMARY:RAJA Performance Suite: Performance Portability Analysis with Cali
 per and Thicket
DESCRIPTION:Olga Pearce (Lawrence Livermore National Laboratory (LLNL), Te
 xas A&M University); Jason Burmark and Rich Hornung (Lawrence Livermore Na
 tional Laboratory (LLNL)); Befikir Bogale and Ian Lumsden (Innovative Comp
 uting Laboratory, University of Tennessee); Michael McKinsey (Texas A&M Un
 iversity); Dewi Yokelson, David Boehme, and Stephanie Brink (Lawrence Live
 rmore National Laboratory (LLNL)); Michela Taufer (University of Tennessee
 , Knoxville); and Tom Scogland (Lawrence Livermore National Laboratory (LL
 NL))\n\nMaintaining performant code in a world of fast-evolving computer a
 rchitectures and programming models poses a significant challenge to scien
 tists. Typically, benchmark codes are used to model some aspects of a larg
 e application code's performance, and are easier to build and run. Such be
 nchmarks can help assess the effects of code or algorithm changes, system 
 updates, and new hardware. However, most performance benchmarks are not wr
 itten using a wide range of GPU programming models. The RAJA Performance S
 uite provides a comprehensive set of computational kernels implemented in 
 a variety of programming models. We integrated the performance measurement
  and analysis tools Caliper and Thicket into the RAJAPerf to facilitate pe
 rformance comparison across kernel implementations and architectures. This
  paper describes the RAJAPerf, performance metrics that can be collected, 
 and experimental analysis with case studies.\n\nTag: Performance Optimizat
 ion, Programming Frameworks and System Software\n\nRegistration Category: 
 Workshop Reg Pass\n\nSession Chairs: CJ Newburn (NVIDIA Corporation), Scot
 t J. Parker (Argonne National Laboratory (ANL)), John Pennycook (Intel Cor
 poration), and Kenneth Weiss (Lawrence Livermore National Laboratory (LLNL
 ))\n\n
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