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DTSTAMP:20250626T234543Z
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DTSTART;TZID=America/New_York:20241121T083000
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UID:submissions.supercomputing.org_SC24_sess450_pan118@linklings.com
SUMMARY:Extreme-Scale Performance Evaluation Tools
DESCRIPTION:Sameer Shende (University of Oregon; ParaTools, Inc.); Olga Pe
 arce (Lawrence Livermore National Laboratory (LLNL), Texas A&M University)
 ; John Mellor-Crummey (Rice University); Felix Wolf (Technical University 
 Darmstadt); John Linford (NVIDIA Corporation); and Allen Malony (Universit
 y of Oregon; ParaTools, Inc.)\n\nHigh-performance computing platforms are 
 evolving at a rapid pace with the integration of GPUs from three major ven
 dors (NVIDIA, AMD, and Intel). With the rise of AI/ML use cases, software 
 frameworks that target heterogeneous architectures are now trying to adapt
  to hybrid HPC and AI/ML workloads. Performance evaluation tools that have
  supported HPC architectures for years must now adapt to this extreme-scal
 e heterogeneity with support for GPU runtimes that target diverse programm
 ing models. These programming models include OpenMP target offload directi
 ves, DPC++/SYCL, CUDA, HIP, OpenACC, OpenCL, MPI and require distinct perf
 ormance instrumentation interfaces. This panel will discuss the challenges
  facing portable performance evaluation tools and will include panelists f
 rom national laboratories, industry, as well as academic institutions in t
 he US and Europe. These panelists represent leading performance evaluation
  tools in the HPC and AI/ML research community as well as industry.\n\nTag
 : Performance Evaluation and/or Optimization Tools, Performance Optimizati
 on\n\nRegistration Category: Tech Program Reg Pass\n\nSession Chair: Samee
 r Shende (University of Oregon; ParaTools, Inc.)\n\n
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