Papers - KATAGIRI Takahiro
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Auto-tuning of Preconditioners with Deep Learning
SIAM Conference on Computational Science and Engineering (CSE19) page： 1 2019.3
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Toward Auto-tuning of Preconditioners for Sparse Iterative Solvers by Deep Learning
Takahiro Katagiri
Proc. of 2019 Conference on Advanced Topics and Auto Tuning in High-Performance Scientific Computing (ATAT2019) page： 1 2019.2
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Registration between histopathological images with different stains and an MRI image of pancreatic cancer tumor
Hontani Hidekata, Goto Yushi, Tamura Yuki, Shimomura Tomoshige, Kawamura Naoki, Kobayashi Hirokazu, Kugler Mauricio, Yokota Tatsuya, Iwamoto Chika, Ohuchida Kenoki, Hashizume Makoto, Katagiri Takahiro, Sei Tomonari, Shimizu Akinobu
INTERNATIONAL FORUM ON MEDICAL IMAGING IN ASIA 2019 Vol. 11050 2019
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Performance Improvement of High-Speed File Transfer over JHPCN
Pavarangkoon, P; Murata, KT; Yamamoto, K; Muranaga, K; Mizuhara, T; Fukazawa, K; Egawa, R; Katagiri, T; Ogino, M; Nanri, T
IEEE 17TH INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP / IEEE 17TH INT CONF ON PERVAS INTELLIGENCE AND COMP / IEEE 5TH INT CONF ON CLOUD AND BIG DATA COMP / IEEE 4TH CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH) page： 1086 - 1089 2019
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Performance evaluation of the MODYLAS application on modern multi-core and many-core environments
Ohshima, S; Suzuki, S; Sakashita, T; Ogino, M; Katagiri, T; Andoh, Y
2019 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW) page： 787 - 796 2019
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時空間ブロッキングを用いたアジョイント法の性能モデル構築の試み
藤川 隼人，片桐 孝洋，永井 亨，荻野 正雄
情報処理学会研究報告HPC-167-2018 page： 1-10 2018.12
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医用画像処理におけるLDDMMの並列化とコード最適化
中島大地，田村友輝，物部峻太郎，片桐孝洋，本谷秀堅，永井亨，荻野正雄
情報処理学会研究報告HPC-167-2018 page： 1-10 2018.12
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512bit SIMD環境における分子動力学アプリケーションMODYLASの性能評価
大島聡史, 鈴木惣一朗, 坂下逹哉,荻野正雄, 片桐孝洋, 安藤嘉倫
情報処理学会研究報告HPC-166-2018 page： 1-8 2018.9
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GPGPUによる高精度行列‐行列積アルゴリズムのためのBatched BLASを用いた実装方式の提案
石黒 史也, 片桐 孝洋, 大島 聡史, 永井 亨, 荻野 正雄
情報処理学会研究報告HPC-165-2018 page： 1-8 2018.7
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OpenMPの対象ループを変更する自動チューニング手法の評価
櫻井 刀麻, 片桐 孝洋, 永井 亨, 荻野 正雄
情報処理学会研究報告HPC-165-2018 page： 1-7 2018.7
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Yoshimichi Andoh, Soichiro Suzuki, Satoshi Ohshima, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Noriyuki Yoshii, Susumu Okazaki
The Journal of Supercomputing Vol. 74 ( 6 ) page： 2449 - 2469 2018.6
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Auto-tuning for The Era of Relatively High Bandwidth Memory Architectures: A Discussion Based on an FDM Application Reviewed
Takahiro Katagiri
Proceedings of IEEE IPDPSW2018 page： 1-10 2018.5
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時空間ブロッキングを用いたアジョイント法の高性能化 ～ForwardとBackward計算～
池田朋哉、伊藤伸一、長尾大道、片桐孝洋、永井亨、荻野正雄
、情報処理学会論文誌：ＡＣＳ Vol. 61 page： （採録決定） 2018.4
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HMDによるプラズマ乱流シミュレーションの可視化
北澤修太, 沼波政倫, 大谷寛明, 片桐孝洋, 荻野正雄, 永井亨
情報処理学会第81回全国大会予稿集 page： 1-2 2018.3
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Optimizing Forward Computation in Adjoint Method via Multi-level Blocking Reviewed
Tomoya Ikeda, Shin-ichi Ito, Hiromichi Nagao, Takahiro Katagiri, Toru Nagai, Masao Ogino
Proc. of ACM International Conference on High Peformance Computing in Asia-Pacific Region (HPC Asia2018) page： 98 - 107 2018
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D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation
Fan Guning, Mochizuki Masayoshi, Fujii Akihiro, Tanaka Teruo, Katagiri Takahiro
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I Vol. 10777 page： 381 - 391 2018
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Preconditioner auto-tuning using deep learning for sparse iterative algorithms
Yamada Kenya, Katagiri Takahiro, Takizawa Hiroyuki, Kazuo Minami, Yokokawa Mitsuo, Nagai Toru, Ogino Masao
2018 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING WORKSHOPS (CANDARW 2018) page： 257 - 262 2018
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Katagiri Takahiro
2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018) page： 1084 - 1092 2018
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Threaded Accurate Matrix-Matrix Multiplications with Sparse Matrix-Vector Multiplications
Ichimura, S; Ogita, T; Katagiri, T; Nagai, T; Ozaki, K
2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018) page： 1093 - 1102 2018
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D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation Reviewed
G. Fan, A. Fujii, T. Tanaka, T. Katagiri
Proc. of 12th International Conference on Parallel Processing and Applied Mathematics (PPAM2017) page： （印刷中） 2017.9