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Optimizing Performance on Trinity Utilizing Machine Learning, Proxy Applications and Scheduling Priorities

Published in arXiv (Cornell University) • Mar 16, 2024
NobleIDNI3P45W62R41S27
Authors:
Phil Romero

Abstract

The sheer number of nodes continues to increase in todays supercomputers, the first half of Trinity alone contains more than 9400 compute nodes. Since the speed of todays clusters are limited by the slowest nodes, it more important than ever to identify slow nodes, improve their performance if it ca...

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