Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01104 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202533701104 | |
| Published online | 07 October 2025 | |
- ATLAS Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, JINST 3 S08003 (2008). [Google Scholar]
- ATLAS Software and Computing HL-LHC Roadmap, URL https://cds.cern.ch/record/2802918 [accessed 2024-12-09] [Google Scholar]
- ARM Architecture Reference Manual for A-profile architecture, URL https://developer.arm.com/documentation/ddi0487/latest/[accessed 2024-12-09] [Google Scholar]
- Athena software framework of the ATLAS experiment at CERN, URL https://doi.org/10.5281/zenodo.4772550 [Google Scholar]
- Worldwide LHC Computing Grid, URL http://cern.ch/lcg [accessed 2024-12-09] [Google Scholar]
- D. Giordano et al., HEPScore: A new CPU benchmark for the WLCG, EPJ Web Conf. 295 (2024), 07024. [Google Scholar]
- T. Maeno et al., PanDA: Production and Distributed Analysis System, Comput. Softw. Big Sci. 8 (2024) no.1, 4. [Google Scholar]
- Martin Barisits et al., Rucio - Scientific data management, Comput. Softw. Big Sci. 3 (2019) no.1, 11. [Google Scholar]
- F. B. Megino et al., Operational experience and R&D results using the Google Cloud for High-Energy Physics in the ATLAS experiment, Int. J. Mod. Phys. A 39 (2024) no.13-14, 2450054. [Google Scholar]
- A. Anisenkov et al., CRIC: Computing Resource Information Catalogue as a unified topology system for a large scale, heterogeneous and dynamic computing infrastructure, EPJ Web Conf. 245 (2020), 03032. [Google Scholar]
- PanDA job brokerage, Checks for CPU and/or GPU Hardware, URL https://pandawms.readthedocs.io/en/latest/advanced/brokerage.html#checks-for-cpu-and-or-gpuhardware [accessed 2025-04-11] [Google Scholar]
- Google Cloud Services, URL https://cloud.google.com [accessed 2024-12-09] [Google Scholar]
- The GNU Compiler Collection, URL https://gcc.gnu.org/releases.html [accessed 2024-12-08] [Google Scholar]
- J. Blomer et al., The CernVM File System, https://doi.org/10.5281/zenodo.4114078 [Google Scholar]
- Clang compiler front end, URL https://clang.llvm.org/index.html [accessed 2024-12-09] [Google Scholar]
- Lima: Linux Machines, URL https://github.com/lima-vm/lima [accessed 2024-12-09] [Google Scholar]
- ATLAS Lima instructions and configuration, URL https://atlassoftwaredocs.web.cern.ch/athena/containers/lima/[accessed 2024-12-09] [Google Scholar]
- CUDA, parallel computing platform and programming model invented by Nvidia, URL https://docs.nvidia.com/cuda/cuda-installation-guide-linux/[accessed 2024-12-09] [Google Scholar]
- Process monitoring prmon, URL https://github.com/HSF/[accessed 2024-12-09] [Google Scholar]
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