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DTSTAMP:20260422T143140Z
LOCATION:B302-B305
DTSTART;TZID=America/New_York:20241119T120000
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UID:submissions.supercomputing.org_SC24_sess487_post247@linklings.com
SUMMARY:Power Patterns: Understanding the Energy Dynamics of I/O for Paral
 lel Storage Configurations
DESCRIPTION:Maya Purohit (University of Chicago, Colby College) and Valeri
 e Hayot-Sasson and Kyle Chard (University of Chicago)\n\nAs HPC applicatio
 ns become more I/O intensive, understanding their power consumption patter
 ns is necessary to develop energy-saving solutions. Here, we evaluate the 
 energy consumption of I/O operations on two popular HPC parallel file syst
 ems: Lustre and DAOS. We develop models to predict the energy usage of seq
 uential writes and evaluate their accuracy against our gathered benchmarks
 . Our models can be used to enhance the accuracy of energy-predicting fram
 eworks by allowing them to consider storage configuration when estimating 
 total energy consumption.\n\nRegistration Category: Tech Program Reg Pass,
  Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander-Un
 iversität Erlangen-Nürnberg, Erlangen National High Performance Computing 
 Center); Sally Ellingson (University of Kentucky); and Alan Sussman (Unive
 rsity of Maryland)\n\n
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