| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01162 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701162 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701162
Heterogeneous Computing and Power Efficiency in HEP
School of Physics and Astronomy, University of Glasgow Kelvin Building, University Avenue, Glasgow, G12 8QQ, United Kingdom
* e-mail: emanuele.simili@glasgow.ac.uk
Published online: 7 October 2025
The Glasgow ScotGrid facility is now a truly heterogeneous site, with over 4,000 ARM cores representing about 20% of our compute capacity, which has enabled large-scale testing by the experiments and more detailed investigations of performance in a production environment. We present here a number of updates and new results related to our efforts to optimise power efficiency for High Energy Physics (HEP) computing. We will show updated benchmark results, including a new Figure of Merit designed to characterise the power usage during the execution of the HEPScore benchmark.
We expand our HEPScore/Watt comparison to include machines with processors from the Ampere Altra and Altra Max series, NVIDIA Grace, and the most recent AMD EPYC chips. We also introduce a Frequency Scan methodology to better characterize performance/Watt trade-offs, potentially informing strategies like frequency scaling during peak hours to optimize power efficiency.
Our findings contribute to advancing heterogeneous computing strategies and power efficiency optimizations in HEP, paving the way toward more sustainable hardware solutions.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.