Skip to content

2019

Year 2019

  • Journal
    • Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota: Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-matrix Arithmetic on GPU, 2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), pp.9–16, 2019, DOI 10.1109/MCSoC.2019.00009
    • Satoshi Ohshima, Soichiro Suzuki, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Yoshimichi Andoh: Performance evaluation of the MODYLAS application on modern multi-core and many-core environments, In Proceedings of IPDPSW2019, 2019.
  • Conference with review
    • Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota: Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-matrix Arithmetic on GPU, Proceeding of IEEE MCSoC19, Special Session: Auto-Tuning for Multicore and GPU (ATMG-19), 2019.10.01, Nanyang Executive Center, Nanyang Technological University, Singapore, 2019.
    • Satoshi Ohshima, Soichiro Suzuki, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Yoshimichi Andoh: Performance evaluation of the MODYLAS application on modern multi-core and many-core environments, The Fourteenth International Workshop on Automatic Performance Tuning (iWAPT2019, IPDPS2019 Workshop), 2019.05.24, Hilton Copacabana, Rio de Janeiro, Brazil , 2019.
    • Tech Report/Oral Presentation (Conference and Workshop without review)
    • Satoshi Ohshima: Trying to accelerate many small BLAS calculations on GPU, ATAT in HPSC (2019 Conference on Advanced Topics and Auto Tuning in High-Performance Scientific Computing), National Sun Yat-sen University, Kaohsiung, Taiwan, February 16, 2019. / Oral Presentation at Conference in Taiwan