Multi-Hybrid Accelerated Simulation by GPU and FPGA on Radiative Transfer Simulation in Astrophysics

• Item type: Trans(1)
• 公開日: 2020-11-12
• タイトル: Multi-Hybrid Accelerated Simulation by GPU and FPGA on Radiative Transfer Simulation in Astrophysics
• タイトル / 言語: en
• タイトル: Multi-Hybrid Accelerated Simulation by GPU and FPGA on Radiative Transfer Simulation in Astrophysics
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: GPU, FPGA, CUDA, OpenCL, heterogeneous platform
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Center for Computational Sciences, University of Tsukuba／Degree Programs in Systems and Information Engineering, University of Tsukuba
• 著者所属: Center for Computational Sciences, University of Tsukuba／Degree Programs in Systems and Information Engineering, University of Tsukuba
• 著者所属: Degree Programs in Systems and Information Engineering, University of Tsukuba／Center for Computational Sciences, University of Tsukuba
• 著者所属: Center for Computational Sciences, University of Tsukuba／Degree Programs in Systems and Information Engineering, University of Tsukuba
• 著者所属: Center for Computational Sciences, University of Tsukuba／Degree Programs in Pure and Applied Sciences, University of Tsukuba
• 著者所属: Center for Computational Sciences, University of Tsukuba
• 著者所属: Center for Computational Sciences, University of Tsukuba／Degree Programs in Pure and Applied Sciences, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): Center for Computational Sciences, University of Tsukuba / Degree Programs in Systems and Information Engineering, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): Center for Computational Sciences, University of Tsukuba / Degree Programs in Systems and Information Engineering, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): Degree Programs in Systems and Information Engineering, University of Tsukuba / Center for Computational Sciences, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): Center for Computational Sciences, University of Tsukuba / Degree Programs in Systems and Information Engineering, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): Center for Computational Sciences, University of Tsukuba / Degree Programs in Pure and Applied Sciences, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): Center for Computational Sciences, University of Tsukuba
• 著者所属(英): en
• 著者所属(英): Center for Computational Sciences, University of Tsukuba / Degree Programs in Pure and Applied Sciences, University of Tsukuba
• 著者名: Ryohei, Kobayashi; Norihisa, Fujita; Yoshiki, Yamaguchi; Taisuke, Boku; Kohji, Yoshikawa; Makito, Abe; Masayuki, Umemura
• 著者名(英): Ryohei, Kobayashi; Norihisa, Fujita; Yoshiki, Yamaguchi; Taisuke, Boku; Kohji, Yoshikawa; Makito, Abe; Masayuki, Umemura
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Field-programmable gate arrays (FPGAs) have garnered significant interest in research on high-performance computing because their computation and communication capabilities have drastically improved in recent years due to advances in semiconductor integration technologies that rely on Moore's Law. In addition to improving FPGA performance, toolchains for the development of FPGAs in OpenCL have been developed and offered by FPGA vendors that reduce the programming effort required. These improvements reveal the possibility of implementing a concept to enable on-the-fly offloading computation at which CPUs/GPUs perform poorly to FPGAs while performing low-latency data movement. We think that this concept is key to improving the performance of heterogeneous supercomputers using accelerators such as the GPU. In this paper, we propose a GPU-FPGA-accelerated simulation based on the concept and show our implementation with CUDA and OpenCL mixed programming for the proposed method. The results of experiments show that our proposed method can always achieve a better performance than GPU-based implementation and we believe that realizing GPU-FPGA-accelerated simulation is the most significant difference between our work and previous studies.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.28(2020) (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Field-programmable gate arrays (FPGAs) have garnered significant interest in research on high-performance computing because their computation and communication capabilities have drastically improved in recent years due to advances in semiconductor integration technologies that rely on Moore's Law. In addition to improving FPGA performance, toolchains for the development of FPGAs in OpenCL have been developed and offered by FPGA vendors that reduce the programming effort required. These improvements reveal the possibility of implementing a concept to enable on-the-fly offloading computation at which CPUs/GPUs perform poorly to FPGAs while performing low-latency data movement. We think that this concept is key to improving the performance of heterogeneous supercomputers using accelerators such as the GPU. In this paper, we propose a GPU-FPGA-accelerated simulation based on the concept and show our implementation with CUDA and OpenCL mixed programming for the proposed method. The results of experiments show that our proposed method can always achieve a better performance than GPU-based implementation and we believe that realizing GPU-FPGA-accelerated simulation is the most significant difference between our work and previous studies.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.28(2020) (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11833852
• 書誌情報: 情報処理学会論文誌コンピューティングシステム（ACS）; 巻 13, 号 3, 発行日 2020-11-12
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7829
• 出版者 / 言語: ja
• 出版者: 情報処理学会