COMPASS formalizes HPC configuration questions as ML tasks on traces, quantifies recommendation trustworthiness, and delivers 65.93% lower average job turnaround time plus 80.93% lower node usage versus prior methods in simulator tests.
Rodinia: A benchmark suite for heterogeneous computing
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MPS can boost performance up to 30% and cut energy 20% with careful provisioning but degrades sharply under memory contention, whereas MIG delivers steadier gains through hardware isolation at the cost of higher overhead and occasional performance losses.
citing papers explorer
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COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC
COMPASS formalizes HPC configuration questions as ML tasks on traces, quantifies recommendation trustworthiness, and delivers 65.93% lower average job turnaround time plus 80.93% lower node usage versus prior methods in simulator tests.
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A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies
MPS can boost performance up to 30% and cut energy 20% with careful provisioning but degrades sharply under memory contention, whereas MIG delivers steadier gains through hardware isolation at the cost of higher overhead and occasional performance losses.