| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01163 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701163 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701163
Taking on RISC for Energy-Efficient Computing in HEP
1 School of Physics and Astronomy, University of Glasgow Kelvin Building, University Avenue, Glasgow, G12 8QQ, United Kingdom
2 Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Pisa Edificio C, Polo Fibonacci, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy
3 CERN, Esplanade des Particules 1, 1217 Geneve, Switzerland
* e-mail: emanuele.simili@glasgow.ac.uk
** e-mail: tommaso.boccali@pi.infn.it
*** e-mail: shahzad.malik.muzaffar@cern.ch
Published online: 7 October 2025
In pursuit of energy-efficient solutions for computing in High Energy Physics (HEP) we have extended our investigations of non-x86 architectures beyond the ARM platforms that we have previously studied. In this work, we have taken a first look at the RISC-V architecture for HEP workloads, leveraging advancements in both hardware and software maturity.
We introduce the Pioneer Milk-V, a 64-core RISC-V machine running Fedora Linux, as our new testbed, available at ScotGrid Glasgow (UK) and INFN Bologna and Pisa (Italy). Despite this early stage of RISC-V adoption in HEP, significant progress has been made in software compatibility. Standard frameworks such as ROOT, Geant4, CVMFS, and XRootD can be successfully built and run on the RISC-V platform, showcasing the evolving ecosystem. Additionally, efforts are underway to port CMSSW, promising further integration of HEP experiment software. In this first study, we assess performance and power efficiency, and we leverage various benchmarking tools to compare the RISC-V system with existing ARM and x86 architectures. Although it is not yet possible to run the HEPScore suite, we have conducted other tests such as running ROOT, DB12 and Geant4 benchmarks, while assessing and comparing performance per Watt across various platforms. These early results suggest that RISC-V architecture, despite being still immature for large scale adoption, holds potential for entering the increasingly heterogeneous computing landscape of HEP.
© The Authors, published by EDP Sciences, 2025
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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