CPU and GPU Implementation of QCD by using OpenCL
Science, Korea University, 339-700 Republic of Korea
7th International Conference on Computer Science and Information Technology (ICCSIT’2015), 2015
@article{sa2015cpu,
title={CPU and GPU Implementation of QCD by using OpenCL},
author={Sa, J and Noh, B and Kim, H and Choi, D and Lee, S and Chung, Y and Kim, D and Jang, H},
year={2015}
}
Recently, many particle physics applications can be parallelized by using multicore platforms such as CPU and GPU. In this paper, we propose a parallel processing approach for Quantum ChromoDynamics(QCD) application by using both CPU and GPU. Instead of distributing the parallelizable workload to either CPU or GPU, we distribute the workload simultaneously into both CPU and GPU by using OpenCL. Based on the experimental results with the lattice QCD code, we confirm that the proposed parallel processing approach can provide better performance than the typical parallel processing approach by utilizing the given resource maximally.
June 30, 2015 by hgpu
