Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01314 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202533701314 | |
| Published online | 07 October 2025 | |
- M. Wadenstein, https://indico.cern.ch/event/1450885/contributions/6252610/attachments/2983174/525 9248/20241212-lca.pdf, viewed 25.2.2025. [Google Scholar]
- E. Simili et al., ARMing HEP for the future: Energy Efficiency of WLCG sites (ARM vs. x86), EPJ Web of Conf. 295 (2024), https://doi.org/10.1051/epjconf/202429511007 [Google Scholar]
- D. Abdurachmanov, P. Elmer, G Eulisse, S. Muzaffar, Initial explorations of ARM processors for scientific computing, in Proceedings of 15th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2013) : Beijing, China, May 16-21, 2013, J.Phys.Conf.Ser. 523 (2014) 012009, DOI: 10.1088/1742-6596/523/1/012009 [Google Scholar]
- D. Giordano et al., HEPiX Benchmarking Solution for WLCG Computing Resources, Comput Softw Big Sci 5, 28 (2021). https://doi.org/10.1007/s41781-021-00074-y [CrossRef] [Google Scholar]
- N.Szczepanek et al., HEP Benchmark Suite: Enhancing Efficiency and Sustainability in Worldwide LHC Computing Infrastructures, https://doi.org/10.48550/arXiv.2408.12445 [Google Scholar]
- D. Protopopescu, et al., https://www.ppe.gla.ac.uk/smartpro/, viewed 25.2.2025. [Google Scholar]
- https://www.neso.energy/data-portal, viewed 25.2.2025. [Google Scholar]
- D. Spiteri, https://indico.cern.ch/event/1377701/contributions/5902267/attachments/2838309/4960565/HEPiXSimulation.pdf, viewed 25.2.2025. [Google Scholar]
- https://dataviz.boavizta.org/serversimpact, viewed 25.2.2025. [Google Scholar]
- A. Packer, S. Skipsey, A. Dewhurst, Carbon costs of storage: a UK perspective, These proceedings. [Google Scholar]
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