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DTSTART:19700308T020000
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DTSTAMP:20250626T233526Z
LOCATION:B302-B305
DTSTART;TZID=America/New_York:20241120T100000
DTEND;TZID=America/New_York:20241120T170000
UID:submissions.supercomputing.org_SC24_sess533_post158@linklings.com
SUMMARY:Cluster-Based Methodology for Characterizing the Performance of Po
 rtable Applications
DESCRIPTION:Befikir Bogale (University of Tennessee, Knoxville); Olga Pear
 ce and Tom Scogland (Lawrence Livermore National Laboratory (LLNL)); and M
 ichela Taufer (University of Tennessee, Knoxville)\n\nThis work focuses on
  performance portability and proposes a methodological approach to assessi
 ng and explaining how different kernels behave across various hardware arc
 hitectures using the RAJA Performance Suite (RAJAPerf). Our methodology le
 verages metrics from the Intel top-down pipeline and clustering techniques
  to sort the kernels based on performance characteristics. We assess the m
 ethodology on 54 RAJAPerf computational kernels on Intel Xeon and NVIDIA V
 100 platforms. Our results confirm the effectiveness of our methodology in
  automatically characterizing performance differentials and speedups, part
 icularly in memory-bound kernels.\n\nRegistration Category: Tech Program R
 eg Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alex
 ander University, Erlangen-Nuremberg; Erlangen National High Performance C
 omputing Center); Sally Ellingson (University of Kentucky); and Alan Sussm
 an (University of Maryland)\n\n
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