Publications of 2024

論文誌

    国際会議

    本会議

    • CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types
      • Norihisa Fujita
      • Beau Johnston
      • Ryohei Kobayashi
      • Keita Teranishi
      • Seyong Lee
      • Taisuke Boku
      • Jeffrey S. Vetter
      Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, and Jeffrey S. Vetter, “CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types,” In Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W '23). Association for Computing Machinery, New York, NY, USA, pp. 1651–1661, Nov. 2023. doi: doi.org/10.1145/3624062.3624244
    • CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems,
      • Norihisa Fujita
      • Beau Johnston
      • Narasinga Rao Miniskar
      • Ryohei Kobayashi
      • Mohammad Alaul Haque Monil
      • Keita Teranishi
      • Seyong Lee, Jeffrey S. Vetter
      • Taisuke Boku
      Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku, "CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems," 2024 IEEE 20th International Conference on e-Science (e-Science), Osaka, Japan, pp. 1-10, Sept. 2024 doi: doi.org/10.1109/e-Science62913.2024.10678717.
    • Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling
      • Liang, Wentao
      • Fujita Norihisa
      • Kobayashi Ryohei
      • Boku Taisuke
      Liang, W., Fujita, N., Kobayashi, R., & Boku, T. (2024, January). Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling. In Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops (pp. 69-76).
    • Improving Performance on Replica-Exchange Molecular Dynamics Simulations by Optimizing GPU Core Utilization
      • Taisuke Boku
      • Masataka Sugita
      • Ryohei Kobayashi
      • Shinnosuke Furuya
      • Takuya Fujie
      • Masahito Ohue
      • Yutaka Akiyama
      Taisuke Boku, Masataka Sugita, Ryohei Kobayashi, Shinnosuke Furuya, Takuya Fujie, Masahito Ohue, Yutaka Akiyama, “Improving Performance on Replica-Exchange Molecular Dynamics Simulations by Optimizing GPU Core Utilization”, Proc. of ICPP2024, Visby, Sweden, Aug. 15th, 2024.

    国内会議

    研究会