| Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
|---|---|---|
| Article Number | 03030 | |
| Number of page(s) | 11 | |
| Section | Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202125103030 | |
| Published online | 23 August 2021 | |
https://doi.org/10.1051/epjconf/202125103030
Novel features and GPU performance analysis for EM particle transport in the Celeritas code
1 Oak Ridge National Laboratory
2 Fermi National Accelerator Laboratory
3 Argonne National Laboratory
4 Lawrence Berkeley National Laboratory
* e-mail: johnsonsr@ornl.gov
Published online: 23 August 2021
Celeritas is a new computational transport code designed for high-performance simulation of high-energy physics detectors. This work describes some of its current capabilities and the design choices that enable the rapid development of efficient on-device physics. The abstractions that underpin the code design facilitate low-level performance tweaks that require no changes to the higher-level physics code. We evaluate a set of independent changes that together yield an almost 40% speedup over the original GPU code for a net performance increase of 220× for a single GPU over a single CPU running 8.4M tracks on a small demonstration physics app.
© The Authors, published by EDP Sciences, 2021
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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