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DTSTAMP:20250822T115804Z
LOCATION:Room 5.0A52
DTSTART;TZID=Europe/Stockholm:20250617T150000
DTEND;TZID=Europe/Stockholm:20250617T153000
UID:submissions.pasc-conference.org_PASC25_sess119_msa190@linklings.com
SUMMARY:Collaborative Continuous Benchmarking for HPC Applications
DESCRIPTION:Olga Pearce (Lawrence Livermore National Laboratory, Texas A&M
  University)\n\nBenchmarking is integral to procurement of HPC systems, co
 mmunicating HPC center workloads to HPC vendors, and verifying performance
  of the delivered HPC systems. Currently, HPC benchmarking is manual and c
 hallenging at every step, posing a high barrier to entry, and hampering re
 producibility of the benchmarks across different HPC systems. Collaborativ
 e continuous benchmarking can enable functional reproducibility, automatio
 n, and community collaboration in HPC benchmarking. Recent progress in HPC
  automation allows us to consider previously unimaginable large-scale impr
 ovements to the HPC ecosystem. Collaborative continuous benchmarking helps
  overcome the human bottleneck in HPC benchmarking, enabling better evalua
 tion of our systems and enabling a more productive collaboration within th
 e HPC community.\n\nDomain: Engineering, Physics, Computational Methods an
 d Applied Mathematics\n\nSession Chair: Olga Pearce (Lawrence Livermore Na
 tional Laboratory, TAMU)\n\n
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