Application-Driven Exascale: The JUPITER Benchmark Suite
<|reference_start|>Application-Driven Exascale: The JUPITER Benchmark Suite: 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.<|reference_end|>
@article{herten2024application-driven,
    title={Application-Driven Exascale: The JUPITER Benchmark Suite},
    author={Andreas Herten, Sebastian Achilles, Damian Alvarez, Jayesh Badwaik,
  Eric Behle, Mathis Bode, Thomas Breuer, Daniel Caviedes-Voulli`eme, Mehdi
  Cherti, Adel Dabah, Salem El Sayed, Wolfgang Frings, Ana Gonzalez-Nicolas,
  Eric B. Gregory, Kaveh Haghighi Mood, Thorsten Hater, Jenia Jitsev, Chelsea
  Maria John, Jan H. Meinke, Catrin I. Meyer, Pavel Mezentsev, Jan-Oliver
  Mirus, Stepan Nassyr, Carolin Penke, Manoel R"ommer, Ujjwal Sinha, Benedikt
  von St. Vieth, Olaf Stein, Estela Suarez, Dennis Willsch, Ilya Zhukov},
    journal={arXiv preprint arXiv:2408.17211},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.17211},
    primaryClass={cs.DC cs.AR cs.PF}
}