建部 修見

Professor, Center for Computational Sciences, University of Tsukuba

High Performance Computing

Title

筑波大学計算科学研究センター教授
筑波大学大学院システム情報工学研究科コンピュータサイエンス専攻教授
筑波大学情報学群情報科学類教授
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研究室説明会

学類3年生向けの研究室説明会
10/21(月) 18:15-
11/1(金) 18:15-
に開催します.

Laboratory

HPCS Laboratory

Contact

tatebe at cs.tsukuba.ac.jp

Research Interest

並列分散システムソフトウェア
ストレージシステムと並列I/O
データインテンシブコンピューティング
ハイパフォーマンスコンピューティング

Storage for Oakforest-PACS

Storage System for Oakforest-PACS

Book

Chapter 6, System Software for Data-Intensive Science, Advanced Software Technologies for Post-Peta Scale Computing, Springer, pp.99-120, 2019

Book

Chapter 16, Oakforst-PACS, Contemporary High Performance Computing: From Petascale toward Exascale, Volume 3, CRC Press, pp.401-422, 2019

Book

コロナ社 グリッド技術入門
ISBN:978-4-339-02426-5

Publication

  • Yasuhiro Nakamura, Hideyuki Kawashima, Osamu Tatebe, "Integration of TicToc Concurrency Control Protocol with Parallel Write Ahead Logging Protocol", International Journal of Networking and Computing, Vol.9, No.2, pp.339-353, 2019

  • Harunobu Daikoku, Hideyuki Kawashima, and Osamu Tatebe, "Skew-Aware Collective Communication for MapReduce Shuffling", Proceedings of the 6th Workshop on Scalable Cloud Data Management, pp.3331-3340, doi: 10.1109/BigData.2018.8622088, 2018

  • Yasuhiro Nakamura, Hideyuki Kawashima, Osamu Tatebe, "Integrating TicToc with Parallel Logging", Proceedings of the 6th International Workshop on Computer Systems and Architectures, pp.105-111, doi: 10.1109/CANDARW.2018.00028, 2018 (Best Paper)

  • Kohei Hiraga, Osamu Tatebe, Hideyuki Kawashima, "PPMDS: A Distributed Metadata Server based on Nonblocking Transactions", Proceedings of the Second International Workshop on Data Science Engineering and its Applications, pp.202-208, doi: 10.1109/SNAMS.2018.8554478, 2018 (Best Paper)

  • Masahiro Tanaka, Osamu Tatebe, Hideyuki Kawashima, "Applying Pwrake Workflow System and Gfarm File System to Telescope Data Processing", Proceedings of 2018 IEEE International Conference on Cluster Computing, pp.124-133, doi: 10.1109/CLUSTER.2018.00024, 2018
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