| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 11021 | |
| Number of page(s) | 8 | |
| Section | Heterogeneous Computing and Accelerators | |
| DOI | https://doi.org/10.1051/epjconf/202429511021 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429511021
Running GPU-enabled CMSSW workflows through the production system
University of Wisconsin Madison
* e-mail: charis.kleio.koraka@cern.ch
Published online: 6 May 2024
The CMS experiment at CERN accelerates several stages of its online reconstruction by making use of GPU resources at its High Level Trigger (HLT) farm for LHC Run 3. Additionally, during the past years, computing resources available to the experiment for performing offline reconstruction, such as Tier-1 and Tier-2 sites, have also started to integrate accelerators into their systems. In order to make efficient use of these heterogeneous platforms, it is essential to adapt both the CMS production system and the CMSSW reconstruction code to make use of GPUs. The CMSSW offline reconstruction can now partially run on GPUs, inheriting from the work done at the HLT. Parts of the production systems infrastructure have also been adapted to successfully map, schedule and run the available GPU-enabled workflows on different sites across the computing grid. This talk will describe the process of commissioning GPU-enabled CMSSW workflows through the production system and will present first results from the deployment of GPU-enabled offline reconstruction workflows.
© The Authors, published by EDP Sciences, 2024
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