Application-Driven Exascale: The JUPITER Benchmark Suite
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866908144153657344 |
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| author | Herten, Andreas Achilles, Sebastian Alvarez, Damian Badwaik, Jayesh Behle, Eric Bode, Mathis Breuer, Thomas Caviedes-Voullième, Daniel Cherti, Mehdi Dabah, Adel Sayed, Salem El Frings, Wolfgang Gonzalez-Nicolas, Ana Gregory, Eric B. Mood, Kaveh Haghighi Hater, Thorsten Jitsev, Jenia John, Chelsea Maria Meinke, Jan H. Meyer, Catrin I. Mezentsev, Pavel Mirus, Jan-Oliver Nassyr, Stepan Penke, Carolin Römmer, Manoel Sinha, Ujjwal Vieth, Benedikt von St. Stein, Olaf Suarez, Estela Willsch, Dennis Zhukov, Ilya |
| author_facet | Herten, Andreas Achilles, Sebastian Alvarez, Damian Badwaik, Jayesh Behle, Eric Bode, Mathis Breuer, Thomas Caviedes-Voullième, Daniel Cherti, Mehdi Dabah, Adel Sayed, Salem El Frings, Wolfgang Gonzalez-Nicolas, Ana Gregory, Eric B. Mood, Kaveh Haghighi Hater, Thorsten Jitsev, Jenia John, Chelsea Maria Meinke, Jan H. Meyer, Catrin I. Mezentsev, Pavel Mirus, Jan-Oliver Nassyr, Stepan Penke, Carolin Römmer, Manoel Sinha, Ujjwal Vieth, Benedikt von St. Stein, Olaf Suarez, Estela Willsch, Dennis Zhukov, Ilya |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_17211 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Application-Driven Exascale: The JUPITER Benchmark Suite Herten, Andreas Achilles, Sebastian Alvarez, Damian Badwaik, Jayesh Behle, Eric Bode, Mathis Breuer, Thomas Caviedes-Voullième, Daniel Cherti, Mehdi Dabah, Adel Sayed, Salem El Frings, Wolfgang Gonzalez-Nicolas, Ana Gregory, Eric B. Mood, Kaveh Haghighi Hater, Thorsten Jitsev, Jenia John, Chelsea Maria Meinke, Jan H. Meyer, Catrin I. Mezentsev, Pavel Mirus, Jan-Oliver Nassyr, Stepan Penke, Carolin Römmer, Manoel Sinha, Ujjwal Vieth, Benedikt von St. Stein, Olaf Suarez, Estela Willsch, Dennis Zhukov, Ilya Distributed, Parallel, and Cluster Computing Hardware Architecture Performance B.8.2; C.0; C.5.1; D.1.0; C.4 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. |
| title | Application-Driven Exascale: The JUPITER Benchmark Suite |
| topic | Distributed, Parallel, and Cluster Computing Hardware Architecture Performance B.8.2; C.0; C.5.1; D.1.0; C.4 |
| url | https://arxiv.org/abs/2408.17211 |