The Future of Scheduling in Athena on HPCs
The large increase in luminosity expected from Run 4 of the LHC presents the ATLAS experiment with a new scale of computing challenge, and we can no longer restrict our computing to CPUs in a High Throughput Computing paradigm. We must make full use of the High Performance Computing resources available to us, exploiting accelerators and making efficient use of large jobs over many nodes. Here we describe current developments in introducing these capabilities to Athena, ATLAS’s general software framework.
Authors
- X. Ju (ORCID: https://orcid.org/0000-0002-9745-1638)
- B. Stanislaus (ORCID: https://orcid.org/0000-0001-9007-7658)
- P. Calafiura (ORCID: https://orcid.org/0000-0002-1692-1678)
- V. Tsulaia (ORCID: https://orcid.org/0000-0001-8157-6711)
- Julien Esseiva
- Charles Leggett
Institutions
- Lawrence Berkeley National Laboratory (US)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701353
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- National Energy Research Scientific Computing Center
- Office of Science
- Lawrence Berkeley National Laboratory