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DTSTAMP:20260422T000713Z
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DTSTART;TZID=America/Denver:20231113T133000
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UID:submissions.supercomputing.org_SC23_sess447_ws_pmbsf127@linklings.com
SUMMARY:Power Analysis of NERSC Production Workloads
DESCRIPTION:Zhengji Zhao, Ermal Rrapaj, Sridutt Bhalachandra, Brian Austin
 , Hai Ah Nam, and Nicholas Wright (Lawrence Berkeley National Laboratory (
 LBNL))\n\nPower has become a key limiting factor in supercomputing.  Under
 standing the power signatures of current production workloads is essential
  to address this limit and continue to advance scientific computing at sca
 le. This paper analyzes the power characteristics of NERSC production work
 loads at the system and application levels. Our system-level analysis reve
 aled a large gap between the average and peak power usage distribution, in
 dicating a significant power swing from running various applications on th
 e system. On the application level, we select four workflow benchmarks rep
 resenting NERSC's production workloads to analyze the power characteristic
 s of applications and attempt to correlate the observed power timeline pat
 terns with GPU performance metrics and application profiling data. We foun
 d different applications have distinct power usage patterns and widespread
  average and peak power usage. We discuss how these findings may help impr
 ove the current system's operational power efficiency and the implications
  for future system procurement.\n\nTag: Modeling and Simulation, Performan
 ce Measurement, Modeling, and Tools\n\nRegistration Category: Workshop Reg
  Pass\n\nSession Chairs: Simon Hammond (National Nuclear Security Administ
 ration (NNSA)); Stephen Jarvis (University of Birmingham, UK); and Steven 
 A. Wright (University of York, England)\n\n
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