| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 09008 | |
| Number of page(s) | 7 | |
| Section | 9 - Exascale Science | |
| DOI | https://doi.org/10.1051/epjconf/202024509008 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024509008
Lattice QCD GPU Inverters on ROCm Platform
1
Institute of High Energy Physics, Chinese Academy of Science, Beijing 100049, China
2
The Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
3
Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
4
School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
5
Nanjing Normal University, Nanjing, Jiangsu, 210023, China
6
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
7
CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China
* e-mail: biyujiang@ihep.ac.cn
** e-mail: ybyang@itp.ac.cn
Published online: 16 November 2020
The open source ROCm/HIP platform for GPU computing provides a uniform framework to support both the NVIDIA and AMD GPUs, and also the possibility to porting the CUDA code to the HIP-compatible one. We present the porting progress on the Overlap fermion inverter (GWU-code) and also the general Lattice QCD inverter package - QUDA. The manual of using QUDA on HIP and also the tips of porting general CUDA code into the HIP framework are also provided.
© The Authors, published by EDP Sciences, 2020
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