Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling
University of Tsukuba, Tsukuba, Ibaraki, Japan
International Conference on High Performance Computing in Asia-Pacific Region Workshops (HPCAsia’24), 2024
@inproceedings{liang2024using,
title={Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling},
author={Liang, Wentao and Fujita, Norihisa and Kobayashi, Ryohei and Boku, Taisuke},
booktitle={Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops},
pages={69–76},
year={2024}
}
Intel oneAPI is a programming framework that accepts various accelerators such as GPUs, FPGAs, and multi-core CPUs, with a focus on HPC applications. Users can apply their code written in a single language, DPC++, to this heterogeneous programming environment. However, in practice, it is not easy to apply to different accelerators, especially for non-Intel devices such as NVIDIA and AMD GPUs. We have successfully constructed a oneAPI environment set to utilize the single DPC++ programming to handle true multi-hetero acceleration including NVIDIA GPU and Intel FPGA simultaneously. In this paper, we will show how this is done and what kind of applications can be targeted.
April 7, 2024 by hgpu
