GPARS: Graph predictive algorithm for efficient resource scheduling in heterogeneous GPU clusters

Efficient resource scheduling in heterogeneous graphics processing unit (GPU) clusters are critical for maximizing system performance and optimizing resource utilization. However, prior research in resource scheduling algorithms typically employed machine learning (ML) algorithms to estimate job dur...

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Vydané v:	Future generation computer systems Ročník 152; s. 127 - 137
Hlavní autori:	Wang, Sheng, Chen, Shiping, Shi, Yumei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2024
Predmet:	Graph attention networks Heterogeneous GPU clusters Job duration Resource scheduling Resource utilization Waiting time Graph attention networks Resource scheduling Resource utilization Heterogeneous GPU clusters Job duration Waiting time
ISSN:	0167-739X, 1872-7115
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