Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling Systems

Minami, Shohei; Endo, Tetsuro; Nomura, Akihiro

doi:10.1007/978-3-030-88224-2_4

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Actually speed of jobs are affected by many factors, including cache pollution, synchronization within parallel jobs, and so on. A report has analyzed this performance degradation in detail[12] Manuscript submitted to ACM…”

mentioning

confidence: 99%

Effectiveness of the Oversubscribing Scheduling on Supercomputer Systems

Minami

Endo

Nomura

2023

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region

Self Cite

View full text Add to dashboard Cite

High responsiveness is substantial for users' satisfaction in supercomputer systems. Recently, the use of interactive jobs in addition to traditional batch jobs is attracting attention. It is getting important to handle those jobs consolidated for responsive systems. Here we show oversubscribing scheduling, in which multiple HPC jobs share computational resources, can effectively process jobs. This paper builds the job scheduling simulator considering oversubscribing and evaluates the oversubscribing system using actual supercomputer workload trace data. While keeping the short users' response time, our solution achieves some strengths not found in a conventional solution; benefits on normal jobs, alleviating the slowdown, and the unnecessariness of the effort of good system configuration.CCS Concepts: • Software and its engineering → Massively parallel systems; • Theory of computation → Scheduling algorithms.

show abstract

mentioning

confidence: 99%