2021
DOI: 10.48550/arxiv.2106.12007
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Energy hardware and workload aware job scheduling towards interconnected HPC environments

Marco D'Amico,
Julita Corbalan

Abstract: New HPC machines are getting close to the exascale. Power consumption for those machines has been increasing, and researchers are studying ways to reduce it. A second trend is HPC machines' growing complexity, with increasing heterogeneous hardware components and different clusters architectures cooperating in the same machine. We refer to these environments with the term heterogeneous multi-cluster environments. With the aim of optimizing performance and energy consumption in these environments, this paper pr… Show more

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