Multicore workload scheduling in JUNO
Institute of High Energy Physics,
19B Yuquan Road,
2 Soochow University, 1 Shizi Street, Suzhou, JiangSu Province, 215006, P.R. China
* E-mal: email@example.com
Published online: 17 September 2019
The Jiangmen Underground Neutrino Observatory (JUNO) is going to apply parallel computing in its software to accelerate JUNO data processing and fully use capability of multi-core and manycore CPUs. Therefore, it is necessary for the JUNO distributed computing system to explore the way to support single-core and multi-core jobs in a consistent way. To support multi-core jobs, a series of changes to the job descriptions, scheduling, monitoring needs to be considered, in which the pilot-based scheduling for a hybrid of single-core and multi-core jobs is the most complicated part. Two scheduling modes and their efficiency are presented and compared in this paper, and also a way to optimize efficiency is provided.
© The Authors, published by EDP Sciences, 2019
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