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DTSTAMP:20230124T171521Z
LOCATION:D221
DTSTART;TZID=America/Chicago:20221113T111500
DTEND;TZID=America/Chicago:20221113T113000
UID:submissions.supercomputing.org_SC22_sess431_ws_sqcs102@linklings.com
SUMMARY:Position Paper: CoMingling of Appropriate Data to Drive Codesign o
 f Applications, HPC Platforms, and Monitoring, Analysis, and Feedback Infr
 astructure
DESCRIPTION:Workshop\n\nPosition Paper: CoMingling of Appropriate Data to 
 Drive Codesign of Applications, HPC Platforms, and Monitoring, Analysis, a
 nd Feedback Infrastructure\n\nBrandt, Gentile\n\nThe goal of building HPC 
 systems is to enable execution of large-scale user application workflows i
 n a performant manner. This is a multi-dimensional problem, including not 
 just a particular application’s or workflows*’ time-to-solution, but the a
 ggregate throughput of all applications submitted (workload*) and the ener
 gy spent for their execution. Beyond minimizing the overall energy used, t
 he aggregate HPC system power draw must always remain within a contract en
 velope. While in practice, one often tunes an individual application’s per
 formance, we rather need to optimize the efficiency of the overall HPC eco
 system. Optimizing the overall efficiency requires optimizing utilization 
 of all resources and the overall performance of the workload while honorin
 g constraints (such as power and priority).\n\nSession Format: Recorded\n\
 nTag: Architectures, Data Analytics, Datacenter, Extreme Scale Computing, 
 HPC Community Collaboration, Machine Learning and Artificial Intelligence,
  Performance, Resource Management and Scheduling, System Software\n\nRegis
 tration Category: Workshop Reg Pass
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