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DTSTAMP:20260422T143138Z
LOCATION:B311
DTSTART;TZID=America/New_York:20241118T113500
DTEND;TZID=America/New_York:20241118T115200
UID:submissions.supercomputing.org_SC24_sess755_ws_prot106@linklings.com
SUMMARY:Analyzing HPC Utilization with PIKA and Vampir
DESCRIPTION:Bill Williams (Technical University Dresden); Maximilian Knesp
 el and Frank Winkler (Technical University Dresden, ZIH); and Bert Wesarg 
 (Technical University Dresden, ZIH; GWT-TUD GmbH)\n\nWe present a set of t
 ools to support analysis of the utilization of high performance computing 
 (HPC) resources by extending PIKA, a site-level monitoring tool, and Vampi
 r, a well-known performance analysis tool. We show an approach to transfor
 ming site-level data into a form that Vampir (and other application-level 
 performance tools) can use to analyze cluster-level data as well. Finally,
  we show that the end product of this transformation allows useful perform
 ance analysis of cluster behavior.\n\nTag: Debugging and Correctness Tools
 , Performance Evaluation and/or Optimization Tools\n\nRegistration Categor
 y: Workshop Reg Pass\n\nSession Chairs: David Boehme (Lawrence Livermore N
 ational Laboratory (LLNL)); Kate Isaacs (University of Utah); Carmen Navar
 rete (Leibniz Supercomputing Centre (LRZ)); and Emmanuelle Saillard (CEA, 
 DAM, DIF)\n\n
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