| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 07024 | |
| Number of page(s) | 7 | |
| Section | Facilities and Virtualization | |
| DOI | https://doi.org/10.1051/epjconf/202429507024 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429507024
HEPScore: A new CPU benchmark for the WLCG
1 CERN, Geneva, Switzerland
2 Subatech UMR 6457, CNRS-IN2P3, IMT Atlantique, Université de Nantes, Nantes, France
3 INFN Sezione di Pisa, L.go Pontecorvo 3, 56127 Pisa (ITALY), and ICSC-National Center for HPC, Big Data and Quantum Computing, Italy
4 Brookhaven National Laboratory, United States
5 University of Arizona, United States
6 INFN, Istituto Nazionale di Fisica Nucleare, Padua, Italy
7 Karlsruhe Institute of Technology, Karlsruhe, Germany
8 Institute of Particle Physics and University of Victoria, Victoria, British Columbia, Canada
9 California Institute of Technology, Pasadena, California, United States
10 Institute of High Energy Physics, Beijing, China
* e-mail: Domenico.Giordano@cern.ch
Published online: 6 May 2024
HEPScore is a new CPU benchmark created to replace the HEPSPEC06 benchmark that is currently used by the WLCG for procurement, computing resource pledges, usage accounting and performance studies. The development of the new benchmark, based on HEP applications or workloads, has involved many contributions from software developers, data analysts, experts of the experiments, representatives of several WLCG computing centres and WLCG site managers. In this contribution, we review the selection of workloads and the validation of the new HEPScore benchmark.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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