@techreport{oai:ipsj.ixsq.nii.ac.jp:00231055,
 author = {Wentao, Liang and Norihisa, Fujita and Ryohei, Kobayashi and Taisuke, Boku and Wentao, Liang and Norihisa, Fujita and Ryohei, Kobayashi and Taisuke, Boku},
 issue = {16},
 month = {Nov},
 note = {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., 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.},
 title = {Using Intel oneAPI for multi-hybrid acceleration programming with GPU and FPGA coupling},
 year = {2023}
}