Abstract
Currently, supercomputer systems face a variety of application challenges, including high-throughput, data-intensive, and stream-processing applications. At the same time, there is more challenge to improve user satisfaction at the supercomputers such as Tianhe-1A, Tianhe-2 and TaihuLight, because of the commercial service model. It is important to understand HPC workloads and their evolution to facilitate informed future research and improve user satisfaction. In this paper, we present a methodology to characterize workloads on the commercial supercomputer (users need to pay), at a particular period and its evolution over time. We apply this method to the workloads of Tianhe-1A at the National Supercomputer Center in Tianjin. This paper presents the concept of quota-constrained waiting time for the first time, which has significance for optimizing scheduling and enhancing user satisfaction on the commercial supercomputer.
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CITATION STYLE
Feng, J., Liu, G., Zhang, J., Zhang, Z., Yu, J., & Zhang, Z. (2018). Workload characterization and evolutionary analyses of tianhe-1A supercomputer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10860 LNCS, pp. 578–585). Springer Verlag. https://doi.org/10.1007/978-3-319-93698-7_44
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