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UID:submissions.supercomputing.org_SC23_sess414_ws_hust104@linklings.com
SUMMARY:PEAK:  A Light-Weight Profiler for HPC Systems
DESCRIPTION:Yinzhi Wang and Junjie Li (University of Texas)\n\nIn the cont
 ext of the expanding landscape of contemporary High-Performance Computing 
 (HPC) applications from petascale to exascale, the pursuit of performance 
 optimization emerges as a significant impediment within software developme
 nt endeavors.  In the meantime, the escalating intricacies inherent in par
 allel architectures and systems serve to compound the challenges associate
 d with performance enhancement.\n\nHere, we introduce PEAK (Performance Ev
 aluation and Analysis Kit), a light-weight profiling tool developed with a
  specific focus on large-scale HPC applications.  Using Dynamic Binary Ins
 trumentation, PEAK is able to profile large-scale multi-threaded, multi-pr
 ocess applications with low overhead and high accuracy.  We analyzed the o
 verhead and accuracy of PEAK using synthetic benchmarks and real applicati
 ons and compared it against the other widely used HPC profiling tools avai
 lable.  Our demonstration underscores that PEAK exhibits comparable overhe
 ad and accuracy to alternative profiling tools, while preserving its inher
 ent simplicity.\n\nTag: Programming Frameworks and System Software\n\nRegi
 stration Category: Workshop Reg Pass\n\nSession Chairs: Chris Bording (Uni
 versity of Western Australia); Elsa J. Gonsiorowski (Lawrence Livermore Na
 tional Laboratory (LLNL)); Lev Gorenstein (Globus, University of Chicago);
  and Karen Tomko (Ohio Supercomputer Center)\n\n
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