执行策略对资源利用的建模影响

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI:10.1109/eScience.2018.00085

A. Poyda, M. Titov, A. Klimentov, J. Wells, S. Oral, K. De, D. Oleynik, S. Jha

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引用次数: 0

摘要

对数百pb的原始和衍生HEP(高能物理)数据的分析将需要百亿亿次计算。除了空前的数据量，这些数据分布在数百个计算中心。为了响应这些应用程序需求，以及使用并行处理(即并行性)的性能需求，以及作为技术趋势的结果，HEP项目对超级计算机的采用有所增加。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modeling Impact of Execution Strategies on Resource Utilization

The analysis of the hundreds of petabytes of raw and derived HEP (High Energy Physics) data will necessitate exascale computing. In addition to unprecedented volume, these data are distributed over hundreds of computing centers. In response to these application requirement, as well as performance requirement by using parallel processing (i.e., parallelism), and as a consequence of technology trends, there has been an increase in the uptake of supercomputers by HEP projects.

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2018 IEEE 14th International Conference on e-Science (e-Science)

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