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001047382 0247_ $$2ISSN$$a1078-3482
001047382 0247_ $$2ISSN$$a1741-2846
001047382 037__ $$aFZJ-2025-04270
001047382 041__ $$aEnglish
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001047382 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0
001047382 245__ $$aAn HPC benchmark survey and taxonomy for characterization
001047382 260__ $$aThousand Oaks, Calif.$$bSage Science Press$$c2025
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001047382 500__ $$aFull survey table available as supplemental material at journal, equivalent to arXiv preprint: https://arxiv.org/abs/2509.08347
001047382 520__ $$aThe field of High-Performance Computing (HPC) is defined by providing computing devices with highest performance for a variety of demanding scientific users. The tight co-design relationship between HPC providers and users propels the field forward, paired with technological improvements, achieving continuously higher performance and resource utilization. A key device for system architects, architecture researchers, and scientific users are benchmarks, allowing for well-defined assessment of hardware, software, and algorithms. Many benchmarks exist in the community, from individual niche benchmarks testing specific features, to large-scale benchmark suites for whole procurements. We survey the available HPC benchmarks, summarizing them in table form with key details and concise categorization, also through an interactive website. For categorization, we present a benchmark taxonomy for well-defined characterization of benchmarks.The interactive table of the survey is available at https://fzj-jsc.github.io/benchmark-survey/
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001047382 7001_ $$00000-0002-1904-9627$$aPearce, Olga$$b1$$eCorresponding author
001047382 7001_ $$0P:(DE-Juel1)162225$$aGuimaraes, Filipe$$b2
001047382 773__ $$0PERI:(DE-600)2017480-9$$a10.1177/10943420251351424$$gp. 10943420251351424$$nn/a$$p10943420251351424$$tThe international journal of high performance computing applications$$vn/a$$x1094-3420$$y2025
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