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arXiv · 2109.05412

Hybrid Workload Scheduling on HPC Systems

Yuping Fan·Paul Rich·William Allcock·Michael Papka·Zhiling Lan
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Abstract

Traditionally, on-demand, rigid, and malleable applications have been scheduled and executed on separate systems. The ever-growing workload demands and rapidly developing HPC infrastructure trigger the interest of converging these applications on a single HPC system. Although allocating the hybrid workloads within one system could potentially improve system efficiency, it is difficult to balance the tradeoff between the responsiveness of on-demand requests, the incentive for malleable jobs, and the performance of rigid applications. In this study, we present several scheduling mechanisms to address the issues involved in co-scheduling on-demand, rigid, and malleable jobs on a single HPC system. We extensively evaluate and compare their performance under various configurations and workloads. Our experimental results show that our proposed mechanisms are capable of serving on-demand workloads with minimal delay, offering incentives for declaring malleability, and improving system performance.

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Yuping Fan, Paul Rich, William Allcock, Michael Papka, Zhiling Lan. 2021-09-12. Hybrid Workload Scheduling on HPC Systems. https://arxiv.org/abs/2109.05412

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