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001     1033607
005     20260123000620.0
024 7 _ |2 doi
|a 10.1109/SC41406.2024.00038
024 7 _ |2 arXiv
|a arXiv:2408.17211
024 7 _ |2 datacite_doi
|a 10.34734/FZJ-2024-06487
024 7 _ |2 WOS
|a WOS:001414891300010
037 _ _ |a FZJ-2024-06487
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)145478
|a Herten, Andreas
|b 0
|e Corresponding author
111 2 _ |a International Conference for High Performance Computing, Networking, Storage, and Analysis
|c Atlanta, GA
|d 2024-11-18 - 2024-11-22
|g SC24
|w USA
245 _ _ |a Application-Driven Exascale: The JUPITER Benchmark Suite
260 _ _ |a Los Alamitos, CA, USA
|b IEEE Computer Society
|c 2024
300 _ _ |a 468-512
336 7 _ |2 ORCID
|a CONFERENCE_PAPER
336 7 _ |0 33
|2 EndNote
|a Conference Paper
336 7 _ |2 BibTeX
|a INPROCEEDINGS
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500 _ _ |a Published in Proceedings of The International Conference for High Performance Computing Networking, Storage, and Analysis (SC '24) (2024)
520 _ _ |a Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real applications that represent user requirements into benchmark suites, to guarantee high usability and widespread adoption of a new system. Given the significant investments in leadership-class supercomputers of the exascale era, this is even more important and necessitates alignment with a vision of Open Science and reproducibility. In this work, we present the JUPITER Benchmark Suite, which incorporates 16 applications from various domains. It was designed for and used in the procurement of JUPITER, the first European exascale supercomputer. We identify requirements and challenges and outline the project and software infrastructure setup. We provide descriptions and scalability studies of selected applications and a set of key takeaways. The JUPITER Benchmark Suite is released as open source software with this work at https://github.com/FZJ-JSC/jubench.
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