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DTSTAMP:20260422T143140Z
LOCATION:B312
DTSTART;TZID=America/New_York:20241117T153000
DTEND;TZID=America/New_York:20241117T155000
UID:submissions.supercomputing.org_SC24_sess739_ws_ss119@linklings.com
SUMMARY:Analysis of Power Consumption and GPU Power Capping for MILC
DESCRIPTION:Fatih Acun (Boston University), Zhengji Zhao and Brian Austin 
 (Lawrence Berkeley National Laboratory (LBNL)), Ayse Coskun (Boston Univer
 sity), and Nicholas J. Wright (Lawrence Berkeley National Laboratory (LBNL
 ))\n\nPower has been a key constraint for supercomputers, and limitations 
 on power become increasingly noticeable through the exascale era. Limited 
 power availability pushes the facilities to operate under power constraint
 s and develop power management methods, making it crucial to understand ap
 plications' power consumption behavior and their performance under power c
 onstraints. In this study, we examine the power consumption of MILC, a wid
 ely used lattice quantum chromodynamics application, on the Perlmutter GPU
  system at NERSC. We analyze the power consumption of Generation and Spect
 rum applications of MILC using varying parallel concurrencies and input si
 zes. We then investigate the performance under GPU power caps and show tha
 t MILC is well-suited for GPU power capping. Up to 50% of GPU's TDP can be
  applied to MILC jobs with less than 15% of performance decrease.\n\nTag: 
 Energy Efficiency, HPC Infrastructure, Sustainability\n\nRegistration Cate
 gory: Workshop Reg Pass\n\nSession Chairs: Cate Berard (US Department of E
 nergy); James H. Rogers (Oak Ridge National Laboratory (ORNL)); Fumiyoshi 
 Shoji (RIKEN Center for Computational Science (R-CCS), Center for Computat
 ional Science); Michèle Weiland (EPCC, The University of Edinburgh; The Un
 iversity of Edinburgh); and Mike Woodacre (Hewlett Packard Enterprise (HPE
 ))\n\n
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