Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota: Optimization of Hierarchical matrix computation on GPU, In proceedings of Supercomputing Frontiers. SCFA 2018. Lecture Notes in Computer Science, vol 10776. Springer, Cham, pp.274–292, Print ISBN=978-3-319-69952-3, Online ISBN=978-3-319-69953-0, DOI=https://doi.org/10.1007/978-3-319-69953-0_16, 2018 / 国際会議のProceedings
Yoshimichi Andoh, Soichiro Suzuki, Satoshi Ohshima, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Noriyuki Yoshii, Susumu Okazaki: A thread-level parallelization of pairwise additive potential and force calculations suitable for current many-core architectures, The Journal of Supercomputing, ISSN=1573-0484, DOI=10.1007/s11227-018-2272-2, 2018年2月12日発行 / 共同研究の成果、英語論文誌
査読付き会議
Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack Dongarra: Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU cluster. In: 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, British Columbia, Canada, 21-25 May 2018, showed at 24
Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota: Optimization of Hierarchical matrix computation on GPU, SC-Asia 2018, Resorts World Convention Centre Sentosa, Singapore, May 26-29, 2018, showed at 27
Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota: Optimization of hierarchical matrix computation on GPU – accelerating many small matrix calculation, Sapporo Summer HPC Seminar 2018, 2018年8月8日, 北海道大学 / セミナーにおける口頭発表
Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota: Performance Evaluation of Hierarchical Matrix Computation on Various Modern Architectures, SIAM PP18, 3月7-10日 / ポスター発表