| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01171 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701171 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701171
Heterogeneous reconstruction of hadronic particle flow clusters with the Alpaka Portability Library
1 CERN, European Organization for Nuclear Research, Meyrin, Switzerland
2 University of Notre Dame, Notre Dame, Indiana, USA
3 Baylor University, Waco, Texas, USA
4 Deutsches Elektronen-Synchrotron, Hamburg, Germany
5 RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany
Published online: 7 October 2025
In response to increasing data challenges, CMS has adopted the use of GPU offloading at the High-Level Trigger (HLT). However, GPU code is often hardware specific, and increases the maintenance burden on software development. The Alpaka (Abstraction Library for Parallel Kernel Acceleration) portability library offers a solution to this issue, and has been implemented into the CMS software (CMSSW) for use online at HLT. A portion of the final-state particle candidate reconstruction algorithm, Particle Flow, represented a target for increased performance through parallel operation. We discuss the port of hadronic Particle Flow clustering to Alpaka, and the validation of physics and performance at HLT for 2024 data taking.
© The Authors, published by EDP Sciences, 2025
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