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DTSTART:19700308T020000
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DTSTAMP:20260202T201805Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251118T080000
DTEND;TZID=America/Chicago:20251118T170000
UID:submissions.supercomputing.org_SC25_sess527_post105@linklings.com
SUMMARY:GATSched: Multi-Objective Graph Attention Networks for Energy-Effi
 cient HPC Job Scheduling
DESCRIPTION:Kyrian Adimora (The University of Kansas)\n\nHigh performance 
 computing (HPC) systems face an urgent sustainability crisis, with leading
  facilities consuming 10–60 MW and incurring multimillion-dollar annual en
 ergy costs. Traditional schedulers like SLURM and PBS treat energy as seco
 ndary, leading to 30%–50% energy waste above theoretical optimal levels. W
 e present GATSched, a multi-objective graph attention network scheduler th
 at models HPC workloads as dynamic graphs with specialized attention heads
 . Our approach jointly optimizes energy efficiency, performance, and resou
 rce utilization using four attention mechanisms: energy, performance, bala
 nce, and temporal. Through trace-driven simulation validation on 389,604 p
 roduction jobs across three HPC architectures, GATSched achieves 27%–35% e
 nergy reduction while maintaining substantial resource utilization. In the
  poster session, we will demonstrate the GAT architecture and benchmark co
 mparisons through interactive visualizations.\n\nTag: Research & ACM SRC P
 osters\n\nRegistration Category: Technical Program Reg Pass\n\nSession Cha
 irs: Kento Sato (RIKEN Center for Computational Science (R-CCS)); Chris Sc
 hlipalius (Pawsey Supercomputing Research Centre; Commonwealth Scientific 
 and Industrial Research Organisation (CSIRO), Australia); and Anja Gerbes 
 (Georg-August-Universität Göttingen)\n\n
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