Osamu Tatebe, PhD

Professor, Center for Computational Sciences, University of Tsukuba

High Performance Computing

Title

Professor, Center for Computational Sciences, University of Tsukuba
Professor, Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba
Professor, College of Information Science, School of Informatics, University of Tsukuba
Chairman, NPO Tsukuba OSS Technical Support Center
[ TRIOS | research map ]

Laboratory

HPCS Laboratory

Contact

tatebe at cs.tsukuba.ac.jp

Research Interest

Parallel and Distributed System Software
Storage System and Parallel I/O
Data-Intensive Computing
High Performance Computing

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

Publications

  • Kohei Sugihara, Osamu Tatebe, "Design of Locality-aware MPI-IO for Scalable Shared File Write Performance", Proceedings of the IEEE International Workshop on High-Performance Storage, pp.1080-1089, doi: 10.1109/IPDPSW50202.2020.00179, 2020
  • Kohei Hiraga, Osamu Tatebe, Hideyuki Kawashima, "Scalable Distributed Metadata Server Based on Nonblocking Transactions", Journal of Universal Computer Science, Vol.26, Issue 1, pp.89-106, 2020
  • Osamu Tatebe, Shukuko Moriwake, Yoshihiro Oyama, "Gfarm/BB - Gfarm file system for node-local burst buffer", Journal of Computer Science and Technology, Vol.35, Issue 1, pp.61-71, doi: 10.1007/s11390-020-9803-z, 2020
  • Kenta Machida, Osamu Tatebe, "GHOSTZ PW/GF: Distributed Parallel Homology Search System for Large-scale Metagenomic Analysis", Proceedings of the Third IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2019), pp.3492-3700, doi: 10.1109/BigData47090.2019.9006499, 2019
  • Kazuhiro Serizawa, Osamu Tatebe, "Accelerating Machine Learning I/O by overlapping data staging and mini-batch generations", Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, pp.31-34, doi: 10.1145/3365109.3368768, 2019
  • Takuto Sato, Osamu Tatebe, Hiroyuki Kusaka, "In-situ data analysis system for high resolution meteorological large eddy simulation model", Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, pp.155-158, doi: 10.1145/3365109.3368769, 2019
  • Harunobu Daikoku, Hideyuki Kawashima, and Osamu Tatebe, "Skew-Aware Collective Communication for MapReduce Shuffling", IEICE Transactions on Information and Systems, Vol.E102-D, No.12, pp.2389-2399, doi: 10.1587/transinf.2019PAP0019, 2019
  • 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, doi: 10.15803/ijnc.9.2_339, 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
More [ DLBP | Google Scholar ]