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DTSTAMP:20250626T234543Z
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DTSTART;TZID=America/New_York:20241122T111000
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UID:submissions.supercomputing.org_SC24_sess772_ws_hpct111@linklings.com
SUMMARY:Benchmarking and Continuous Performance Monitoring of Ookami, an A
 RM Fujitsu A64FX Testbed Cluster
DESCRIPTION:Nikolay A. Simakov, Joseph P. White, and Matthew D. Jones (Sta
 te University of New York at Buffalo, Center for Computational Research) a
 nd Eva Siegmann, Daniel G. Wood, Fırat Coşkun, and Robert J. Harrison (Sto
 ny Brook University, Institute for Advanced Computational Science (IACS))\
 n\nContinuous performance monitoring is critical for maintaining optimal p
 erformance of High-Performance Computing resources. This is especially imp
 ortant for technological test bed systems, in which software updates occur
  often, and performance degradation in one place can be masked by performa
 nce improvement in other places. This paper reports on our experience runn
 ing continuous performance monitoring on Ookami, an ARM Fujitsu A64FX mach
 ine (the first ARM CPU with SVE-512 support) using XDMoD. After over three
  years of monitoring, we found that the applications and numerical library
  performance improved the most on the initial release with new technology 
 support, followed by a series of smaller performance gains. Another intere
 sting observation about numeric libraries is that the most invested vendor
 s produce optimized code faster than community codes.\n\nTag: Debugging an
 d Correctness Tools, Hardware Technologies, Resource Management, State of 
 the Practice\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs
 : Bilel Hadri (King Abdullah University of Science and Technology (KAUST))
  and Verónica G. Melesse Vergara (Oak Ridge National Laboratory (ORNL))\n\
 n
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