| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 05012 | |
| Number of page(s) | 5 | |
| Section | 5 - Software Development | |
| DOI | https://doi.org/10.1051/epjconf/202024505012 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024505012
Optimization of Software on High Performance Computing Platforms for the LUX-ZEPLIN Dark Matter Experiment
1
Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, California 94720, USA.
2
SLAC National Accelerator Laboratory, 2575 Sand Hill Rd, Menlo Park, California 94025, USA.
3
University of Sheffield, Sheffield S10 2TG, UK.
* e-mail: vpa@lbl.gov
Published online: 16 November 2020
High Energy Physics experiments like the LUX-ZEPLIN dark matter experiment face unique challenges when running their computation on High Performance Computing resources. In this paper, we describe some strategies to optimize memory usage of simulation codes with the help of profiling tools. We employed this approach and achieved memory reduction of 10-30%. While this has been performed in the context of the LZ experiment, it has wider applicability to other HEP experimental codes that face these challenges on modern computer architectures.
© The Authors, published by EDP Sciences, 2020
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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