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UID:submissions.supercomputing.org_SC23_sess464_ws_hpct103@linklings.com
SUMMARY:Principles for Automated and Reproducible Benchmarking
DESCRIPTION:Tuomas Koskela, Ilektra Christidi, Mosè Giordano, Emily Dubrov
 ska, and Jamie Quinn (University College London); Christopher Maynard (Uni
 versity of Reading; Met Office, UK); Dave Case (National Centre for Atmosp
 heric Science (NCAS), UK; University of Reading); and Kaan Olgu and Tom De
 akin (University of Bristol)\n\nThe diversity in processor technology used
  by High Performance Computing (HPC) facilities is growing, and so applica
 tions must be written in such a way that they can attain high levels of pe
 rformance across a range of different CPUs, GPUs, and other accelerators. 
  Measuring application performance across this wide range of platforms bec
 omes crucial, but there are significant challenges to do this rigorously, 
 in a time efficient way, while assuring results are scientifically meaning
 ful, reproducible, and actionable.  We present a methodology for measuring
  and analyzing the performance portability of a parallel application and s
 hares a software framework which combines and extends adopted technologies
  to provide a usable benchmarking tool.  We demonstrate the flexibility an
 d effectiveness of the methodology and benchmarking framework by showcasin
 g a variety of benchmarking case studies which utilize a stable of superco
 mputing resources at a national scale.\n\nTag: Applications, Exascale, Het
 erogeneous Computing, Programming Frameworks and System Software, State of
  the Practice\n\nRegistration Category: Workshop Reg Pass\n\nSession Chair
 s: Bilel Hadri (King Abdullah University of Science and Technology (KAUST)
 ), Vasileios Karakasis (NVIDIA Corporation), and Verónica G. Melesse Verga
 ra (Oak Ridge National Laboratory (ORNL))\n\n
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