| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 06040 | |
| Number of page(s) | 5 | |
| Section | 6 - Physics Analysis | |
| DOI | https://doi.org/10.1051/epjconf/202024506040 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024506040
Partial wave analysis with OpenAcc
Institute of High Energy Physics, Chinese Academy of Science, China
* Corresponding author: xiaoyanjia@ihep.ac.cn
Published online: 16 November 2020
Partial wave analysis(PWA) is an important tool in hadron physics. Large data sets from the experiments in high precision frontier require high computational power. To utilize GPU cluster and the resource of super computers with various types of accelerator, we implement a software framework for partial wave analysis using OpenAcc, OpenAccPWA. OpenAccPWA provides convenient approaches for exposing parallelism in the code and excellent support for the large amount of existing CPU-based codes of partial wave amplitudes. It can avoid heavy workload of code migration from CPU to GPU. This proceeding will briefly introduce the software framework and performance of OpenAccPWA.
© The Authors, published by EDP Sciences, 2020
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