Organization
Institute of Integrated Research Supercomputing Research Center Professor
Title
Professor
External link
ENDO TOSHIO
Degree
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博士（理学） ( 東京大学 )
Research Interests
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memory hierarchy
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high performance computing
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GPGPU
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Supercomputers
Research Areas
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Informatics / High performance computing
Education
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The University of Tokyo Graduate School, Division of Science Department of Information Science
1996.4 - 2001.9
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The University of Tokyo Faculty of Science Department of Information Science
1992.4 - 1996.3
Country： Japan
Research History
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Institute of Science Tokyo Supercomputing Research Center, IIR Professor
2024.10
Country：Japan
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Tokyo Institute of Technology GSIC Professor
2018.4 - 2024.9
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Tokyo Institute of Technology GSIC Associate Professor
2012.6 - 2018.3
Professional Memberships
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IPSJ
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ACM
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IEEE-CS
Papers
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FRUGAL: Pushing GPU Applications beyond Memory Limits
Lingqi Zhang, Tengfei Wang, Jiajun Huang, Chen Zhuang, Ivan R. Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib
2026 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) 188 - 201 2026.1
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers
Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Proceedings of the 39th ACM International Conference on Supercomputing 57 - 72 2025.6
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An Optimization Technique for Hiding Communication Costs in 3D Parallel Training of Deep Learning Reviewed International coauthorship International journal
Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit
2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) 1 - 10 2025.5
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A General and Scalable GCN Training Framework on CPU Supercomputers.
Chen Zhuang, Peng Chen 0035, Xin Liu 0020, Rio Yokota, Nikoli Dryden, Lingqi Zhang 0001, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
PPoPP 566 - 568 2025
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Challenges in Computing Resource Sharing Towards Next-Gen Interactive Accelerated HPC Reviewed International journal
Toshio Endo, Shohei Minami, Akihiro Nomura, Hiroki Ohtsuji, Jun Kato, Masahiro Miwa, Eiji Yoshida, Tomoya Yuki, Ryuichi Sakamoto
Interactive and Urgent High-Performance Computing (CIW-IUS), in conjunction with ISC24, LNCS 15058 231 - 242 2024.12
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TSUBAME4.0の処理量担保のための計算ノード分割
野村 哲弘, 遠藤 敏夫
2024年度大学ICT推進協議会(AXIES)年次大会, 10AM2C-5 2024.12
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TSUBAME4.0: HPC-AI時代に向けた東京科学大学のもっとみんなのスパコン
安良岡由規, 遠藤敏夫, 野村哲弘, 渡邊 寿雄, 鶴見 慶
2024年度大学ICT推進協議会(AXIES)年次大会, 10AM1C-1 2024.12
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SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers International coauthorship International journal
Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
arXiv:2411.16025 [cs.DC] 2024.11
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HPC-AI時代に向けたもっとみんなのスパコンTSUBAME4.0
遠藤 敏夫, 野村 哲弘, 渡邊 寿雄, 安良岡 由規, 鶴見 慶
並列/分散/協調処理に関するサマーワークショップ(SWoPP2024)， 情報処理学会研究報告 2024-HPC-195 ( 8 ) 2024.8
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Leveraging GPUDirect Storage for Efficient Image Reconstruction
Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2024), IPSJ SIG Technical Report 2024-HPC-195 ( 5 ) 2024.8
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High-performance Graph Convolutional Networks Training on Fugaku and ABCI Supercomputers International coauthorship
Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2024), IPSJ SIG Technical Report 2024-HPC-195 ( 14 ) 2024.8
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FRUGAL: Reducing GPU Memory Requirement of HPC Applications
Tengfei Wang, Lingqi Chang, Ivan Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2024), IPSJ SIG Technical Report 2024-HPC-195 ( 27 ) 2024.8
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タンパク質構造予測プログラムOmegaFoldのマルチGPUを用いた高速化 Reviewed
大沢 泰生, 遠藤 敏夫, 細木 隆豊
Cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG 2024) 2024.8
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スパコンTSUBAMEシリーズにおけるリソース分割戦略
野村 哲弘, 遠藤 敏夫
並列/分散/協調処理に関するサマーワークショップ(SWoPP2024)， 情報処理学会研究報告 2024-HPC-195 ( 7 ) 2024.8
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Real-time High-resolution X-Ray Computed Tomography Reviewed International coauthorship International journal
Du Wu, Peng Chen, Xiao Wang, Issac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Proceedings of the 38th ACM International Conference on Supercomputing 110 - 123 2024.5
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ステンシル計算の時間ブロッキングフレームワークの実装と評価
瓜生 侑, 遠藤 敏夫
情報処理学会研究報告 2024-HPC-194 ( 3 ) 2024.5
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An optimization pass for training speed-up and strategy search in 3D parallelism International coauthorship
Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit
IPSJ SIG Technical Report 2024-HPC-194 ( 7 ) 2024.5
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Accelerating Stencil Computations on a GPU by Combining Using Tensor Cores and Temporal Blocking Reviewed
Futa Kambe, Toshio Endo
16th Workshop on General Purpose Processing Using GPU 1 - 6 2024.3
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Retargeting and Respecializing GPU Workloads for Performance Portability Reviewed
Ivan R. Ivanov, Oleksandr Zinenko, Jens Domke, Toshio Endo, William S. Moses
2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) 119 - 132 2024.3
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Automatic Parallelization and OpenMP Offloading of Fortran Array Notation Reviewed
Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert
proceedings of 20th International Workshop on OpenMP (IWOMP 2024), LNCS 15195 197 - 209 2024.3
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High Throughput 3D Image Reconstruction with GPUDirect and Tensor Core
Du Wu, Peng Chen, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
IPSJ SIG Technical Report 2024-HPC-193 ( 25 ) 2024.3
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AshPipe: Asynchronous Hybrid Pipeline Parallel for DNN Training Reviewed
Ryubu Hosoki, Toshio Endo, Takahiro Hirofuchi, Tsutomu Ikegami
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region 117 - 126 2024.1
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Communication Optimization for Distributed GCN Training on ABCI Supercomputer.
Chen Zhuang, Peng Chen 0035, Xin Liu 0020, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
IEEE International Conference on Cluster Computing 160 - 161 2024
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Investigating Nvidia GPU Architecture Trends via Microbenchmarks.
Lingqi Zhang 0001, Ryan Barton, Peng Chen 0035, Xiao Wang 0004, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
IEEE International Conference on Cluster Computing 174 - 175 2024
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Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage.
Du Wu, Peng Chen 0035, Yiyu Tan, Yusuke Tanimura, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
IEEE International Conference on Cluster Computing 196 - 197 2024
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Pyramid Swin Transformer for Multi-task: Expanding to More Computer Vision Tasks Reviewed
Chenyu Wang, Toshio Endo, Takahiro Hirofuchi, Tsutomu Ikegami
Proceedings of Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2023), Springer, LNCS Vol. 14124 53 - 65 2023.11
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The Aggressive Oversubscribing Scheduling for Interactive Jobs on a Supercomputing System Reviewed
Shohei Minami, Toshio Endo, Akihiro Nomura
2023 IEEE High Performance Extreme Computing Conference (HPEC) 1 - 7 2023.9
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Scalable Training of Graph Convolutional Networks on Supercomputers
Chen Zhuang, Peng Chen, Xin Liu, Satoshi Matsuoka, Toshio Endo, Mohamed Wahib
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2023), IPSJ SIG Technical Report 2023-HPC-190 ( 19 ) 2023.8
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High-performance Temporal Blocking Stencils at Low GPU Occupancy
Lingqi Zhang, Mohamed Wahib, Peng Chen, Yusuke Tanimura, Toshio Endo, Satoshi Matsuoka
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2023), IPSJ SIG Technical Report 2023-HPC-190 ( 26 ) 2023.8
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動的スケジューリングライブラリを用いたPythonにおける分散コレスキー分解の実装と評価
岡本 洸琉, 遠藤 敏夫
並列/分散/協調処理に関するサマーワークショップ(SWoPP2023)， 情報処理学会研究報告 2023-HPC-190 ( 15 ) 2023.8
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GPU上のTensor coreを使ったステンシル計算の時間ブロッキングによる高速化
神戸 風太, 遠藤 敏夫
並列/分散/協調処理に関するサマーワークショップ(SWoPP2023)， 情報処理学会研究報告 2023-HPC-190 ( 29 ) 2023.8
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Hayato Fujita, Akihiro Nomura, Toshio Endo, Masakazu Sekijima
2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) 2023.7
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PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications Invited Reviewed
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
In proceedings of ACM International Conference on Supercomputing (ICS 2023), Orlando, June 2023. 2023.6
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Revisiting Temporal Blocking Stencil Optimizations Invited Reviewed
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
In proceedings of ACM International Conference on Supercomputing (ICS 2023), Orlando, June 2023. 2023.6
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次世代高性能メモリシステムにおけるステンシル計算の局所性向上技術の評価
幸 朋矢, 遠藤 敏夫
情報処理学会研究報告 2023-HPC-188 ( 31 ) 2023.3
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Effectiveness of the Oversubscribing Scheduling on Supercomputer Systems Reviewed
Shohei Minami, Toshio Endo, Akihiro Nomura
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region 18 - 28 2023.2
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Exploiting Scratchpad Memory for Deep Temporal Blocking Reviewed
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
Proceedings of the 15th Workshop on General Purpose Processing Using GPU 34 - 35 2023.2
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High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert, Oleksandr Zinenko
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming 119 - 134 2023.2
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Pyramid Swin Transformer: Different-Size Windows Swin Transformer for Image Classification and Object Detection
Chenyu Wang, Toshio Endo, Takahiro Hirofuchi, Tsutomu Ikegami
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 583 - 590 2023
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機械学習を用いた音声処理に向けたデータ拡張手法の研究
丸山 翼, 池上 努, 遠藤 敏夫, 広渕 崇宏
電子情報通信学会 応用音響研究会 技術研究報告 2022.12
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Efficient Stencil Computation with Temporal Blocking by Halide DSL Reviewed
Hiroki Aikawa, Toshio Endo, Tomoya Yuki, Takahiro Hirofuchi, Tsutomu Ikegami
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) 870 - 877 2022.12
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Breaking the Memory Bottleneck for Iterative Memory-bound Applications Via Persistent Kernels
Lingqi Zhang, Mohamed Wahib, Peng Chen, Jintao Meng, Xiao Wang, Toshio Endo, Satoshi Matsuoka
IPSJ SIG Technical Report 2022-HPC-187 ( 18 ) 2022.12
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Speed-Up Single Shot Detector on GPU with CUDA Reviewed
Chenyu Wang, Toshio Endo, Takahiro Hirofuchi, Tsutomu Ikegami
Proceedings of SNPD2022-summer, Studies in Computational Intelligence 1074 89 - 106 2022.11
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3D Stacked SRAMを活用したHPC向けメモリアーキテクチャの検討
萩原 汐, 吉川 隆英, 幸 朋矢, 遠藤 敏夫
デザインガイア2022， 情報処理学会研究報告 2022-SLDM-200 ( 31 ) 2022.11
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ラムダ式を用いる移植性の高い並列プログラムの実装とCPU・GPU上の評価
瓜生 侑, 遠藤 敏夫
並列/分散/協調処理に関するサマーワークショップ(SWoPP2022)， 情報処理学会研究報告 2022-HPC-185 ( 20 ) 2022.7
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High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs
William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfer, Oleksandr Zinenko
arXiv:2207.00257 [cs.PL] 2022.7
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負荷分散を改善したハイブリッドパイプライン並列深層学習手法
細木 隆豊, 遠藤 敏夫, 広渕 崇宏, 池上 努
並列/分散/協調処理に関するサマーワークショップ(SWoPP2022)， 情報処理学会研究報告 2022-HPC-185 ( 17 ) 2022.7
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タンパク質構造解析システムAlphafoldの実行時ファイルステージングを用いた高速化
大沢 泰生, 遠藤 敏夫, 野村 哲弘
並列/分散/協調処理に関するサマーワークショップ(SWoPP2022)， 情報処理学会研究報告 2022-HPC-185 ( 24 ) 2022.7
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mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hiroki Kobayashi, Shin Matsushima, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuke Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
arXiv:2203.14188 [cs.LG] 2022.3
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Shohei Minami, Toshio Endo, Akihiro Nomura
proceedings of 24th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2021), LNCS 12985 59 - 79 2021.10
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Performance Modeling of HPC Applications on Overcommitted Systems.
Shohei Minami, Toshio Endo, Akihiro Nomura 0002
HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region 129 - 132 2021
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Integrating Cache Oblivious Approach with Modern Processor Architecture Reviewed
Toshio Endo
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region 123 - 130 2020.1
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AN5D: automated stencil framework for high-degree temporal blocking on GPUs. Reviewed
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization(CGO) 199 - 211 2020
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AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs.
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
CoRR abs/2001.01473 2020
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Profiling based Out-of-core Hybrid Method for Large Neural Networks
Yuki Ito, Haruki Imai, Tung Le Duc, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo
arXiv:1907.05013 [cs.LG] 2019.7
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An Autotuning Framework for Scalable Execution of Tiled Code via Iterative Polyhedral Compilation Reviewed
Yukinori Sato, Tomoya Yuki, Toshio Endo
ACM Transactions on Architecture and Code Optimization 15 ( 4 ) 1 - 23 2018.12
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Scalable RMA-based Communication Library Featuring Node-local NVMs Reviewed
Ryo Matsumiya, Toshio Endo
2018 IEEE High Performance extreme Computing Conference (HPEC) 1 - 7 2018.9
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Applying Recursive Temporal Blocking for Stencil Computations to Deeper Memory Hierarchy Reviewed
Toshio Endo
2018 IEEE 7th Non-Volatile Memory Systems and Applications Symposium (NVMSA) 19 - 24 2018.8
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Exhaustive evaluation of memory-latency sensitivity on manycore processors with large cache Reviewed
Noboru Tanabe, Toshio Endo
Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications 27 - 34 2018.3
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Characterizing Memory-Latency Sensitivity of Sparse Matrix Kernels Reviewed
Noboru Tanabe, Toshio Endo
2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP) 249 - 254 2018.3
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ooc_cuDNN: Accommodating convolutional neural networks over GPU memory capacity Reviewed
Yuki Ito, Ryo Matsumiya, Toshio Endo
2017 IEEE International Conference on Big Data (Big Data) 2017.12
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Overview of TSUBAME3.0, Green Cloud Supercomputer for Convergence of HPC, AI and Big-Data
松岡聡, 遠藤敏夫, 額田彰, 三浦信一, 野村哲弘, 佐藤仁, 實本英之, DROZD Aleksandr
Tsubame e-Science Journal 16 02‐08 (JA),20‐27 (EN) - 9 2017.11
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Applying Temporal Blocking with a Directive-based Approach Reviewed
Shota Kuroda, Toshio Endo, Satoshi Matsuoka
Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC 1 - 11 2017.11
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Shimokawabe, Takashi, Endo, Toshio, Onodera, Naoyuki, Aoki, Takayuki
Proceedings of 2017 IEEE International Conference on Cluster Computing (IEEE Cluster 2017) (Internet) 525 - 529 2017.9
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An Accurate Simulator of Cache-Line Conflicts to Exploit the Underlying Cache Performance Reviewed
Yukinori Sato, Toshio Endo
Proceedings of 23rd International European Conference on Parallel and Distributed Computing (Euro-par 2017) 119 - 133 2017.8
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HPCとビッグデータ・AIを融合するグリーン・クラウドスパコンTSUBAME3.0の概要
松岡聡, 遠藤敏夫, 額田彰, 三浦信一, 野村哲弘, 佐藤仁, 實本英之, DROZD Aleksandr
情報処理学会研究報告(Web) 2017 ( HPC-160 ) Vol.2017‐HPC‐160,No.29,1‐6 (WEB ONLY) 2017.7
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ExanaDBT: A Dynamic Compilation System for Transparent Polyhedral Optimizations at Runtime Reviewed
Yukinori Sato, Tomoya Yuki, Toshio Endo
Proceedings of the Computing Frontiers Conference 191 - 200 2017.5
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Evaluating the impacts of code-level performance tunings on power efficiency Reviewed
Satoshi Imamura, Keitaro Oka, Yuichiro Yasui, Yuichi Inadomi, Katsuki Fujisawa, Toshio Endo, Koji Ueno, Keiichiro Fukazawa, Nozomi Hata, Yuta Kakibuka, Koji Inoue, Takatsugu Ono
2016 IEEE International Conference on Big Data (Big Data) 362 - 369 2016.12
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PGAS Communication Runtime for Extreme Large Data Computation Reviewed
Ryo Matsumiya, Toshio Endo
2016 Second International Workshop on Extreme Scale Programming Models and Middlewar (ESPM2) 10 - 16 2016.11
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Realizing Out-of-Core Stencil Computations Using Multi-tier Memory Hierarchy on GPGPU Clusters Reviewed
Toshio Endo
2016 IEEE International Conference on Cluster Computing (CLUSTER) 21 - 29 2016.9
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From FLOPS to BYTES: Disruptive change in high-performance computing towards the post-moore era Reviewed
Satoshi Matsuoka, Hideharu Amano, Kengo Nakajima, Koji Inoue, Tomohiro Kudoh, Naoya Maruyama, Kenjiro Taura, Takeshi Iwashita, Takahiro Katagiri, Toshihiro Hanawa, Toshio Endo
2016 ACM International Conference on Computing Frontiers - Proceedings 274 - 281 2016.5
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Katsuki Fujisawa, Toshio Endo, Yuichiro Yasui
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9725 265 - 274 2016.3
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Dynamic Compilation for Transparent Data Locality Analysis and Memory Subsystem Tuning Reviewed
Yukinori Sato, Toshio Endo
The International Workshop on Architectural and Micro-Architectural Support for Dynamic Optimization (AMAS-DO) 2016.3
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A Cache-aware Temporal Blocking Method for 3D Stencil Computation Reviewed
Shimpei Sato, Yukinori Sato, Toshio Endo
3rd International Workshop on High-Performance Stencil Computations (HiStencils 2016), In conjunction with HiPEAC 2016 2016.1
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The scalable petascale data-driven approach for the Cholesky factorization with multiple GPUs. Reviewed
Yuki Tsujita, Toshio Endo, Katsuki Fujisawa
Proceedings of ESPM2 2015: 1st International Workshop on Extreme Scale Programming Models and Middleware - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis 38 - 45 2015.11
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Exana: an execution-driven application analysis tool for assisting productive performance tuning Reviewed
Yukinori Sato, Shimpei Sato, Toshio Endo
Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems 1 - 10 2015.10
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Investigating potential performance benefits of memory layout optimization based on roofline model Reviewed
Shimpei Sato, Yukinori Sato, Toshio Endo
Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems 50 - 56 2015.10
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Katsuki Fujisawa, Toyotaro Suzumura, Hitoshi Sato, Koji Ueno, Yuichiro Yasui, Keita Iwabuchi, Toshio Endo
Optimization in the Real World - Toward Solving Real-World Optimization Problems -, Series of Mathematics for Industry 1 - 13 2015.9
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TSUBAME2におけるスケジュール効率化への取り組みとユーザ動向の見える化
野村哲弘, 野村哲弘, 佐々木淳, 三浦信一, 三浦信一, 遠藤敏夫, 遠藤敏夫, 松岡聡, 松岡聡
情報処理学会研究報告(Web) 2015 ( HPC-150 ) VOL.2015-HPC-150,NO.2 (WEB ONLY) 2015.7
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Power Capping of CPU-GPU Heterogeneous Systems using Power and Performance Models Reviewed
Kazuki Tsuzuku, Toshio Endo
Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems 226 - 233 2015.5
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Data Driven Scheduling Approach for the Multi-node Multi-GPU Cholesky Decomposition Reviewed
Yuki Tsujita, Toshio Endo
Proceedings of Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) 2015.5
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Realizing Extremely Large-Scale Stencil Applications on GPU Supercomputers Reviewed
Toshio Endo, Yuki Takasaki, Satoshi Matsuoka
2015 IEEE 21ST INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) 625 - 632 2015
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Exploration of Lossy Compression for Application-level Checkpoint/Restart Reviewed
Naoto Sasaki, Kento Sato, Toshio Endo, Satoshi Matsuoka
2015 IEEE 29TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS) 914 - 922 2015
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Guanghao Jin, James Lin, Toshio Endo
2014 International Conference on High Performance Computing and Applications (ICHPCA) 1 - 6 2014.12
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Software technologies coping with memory hierarchy of GPGPU clusters for stencil computations Reviewed
Toshio Endo, Guanghao Jin
2014 IEEE International Conference on Cluster Computing (CLUSTER) 132 - 139 2014.9
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実アプリケーションを用いた計算機評価ベンチマークと性能リポジトリの開発
野村哲弘, 三浦信一, 遠藤敏夫, 松岡聡
情報処理学会研究報告(Web) 2014 ( 29 ) 1 - 7 2014.7
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An evaluation of the potential of flash SSD as large and slow memory for stencil computations Reviewed
Hiroko Midorikawa, Hideyuki Tan, Toshio Endo
2014 International Conference on High Performance Computing & Simulation (HPCS) 268 - 277 2014.7
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Petascale general solver for semidefinite programming problems with over two million constraints Reviewed
Katsuki Fujisawa, Toshio Endo, Yuichiro Yasui, Hitoshi Sato, Naoki Matsuzawa, Satoshi Matsuoka, Hayato Waki
Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS 1171 - 1180 2014.5
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Toshio Endo, Akira Nukada, Satoshi Matsuoka
2014 20TH IEEE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) 360 - 367 2014
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Accelerating Quantum Chemistry Calculations with Graphical Processing Units - Toward in High-Density (HD) Silico Drug Discovery Reviewed
Yohsuke Hagiwara, Kazuki Ohno, Masaya Orita, Ryota Koga, Toshio Endo, Yutaka Akiyama, Masakazu Sekijima
CURRENT COMPUTER-AIDED DRUG DESIGN 9 ( 3 ) 396 - 401 2013.9
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システム評価のためのアプリケーション性能リポジトリの構築と性能モデルの評価
野村哲弘, 三浦信一, 遠藤敏夫, 松岡聡, 鈴木惣一朗, 丸山直也
情報処理学会研究報告(Web) 2013 ( 4 ) 1 - 6 2013.7
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Guanghao Jin, Toshio Endo, Satoshi Matsuoka
2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum 1080 - 1087 2013.5
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Tsubame2.0: The first petascale supercomputer in japan and the greatest production in the world
Satoshi Matsuoka, Takayuki Aoki, Toshio Endo, Hitoshi Sato, Shin'Ichiro Takizawa, Akihiko Nomura, Kento Sato
Contemporary High Performance Computing: From Petascale toward Exascale 525 - 555 2013.1
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Guanghao Jin, Toshio Endo, Satoshi Matsuoka
2013 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER) 1 - 8 2013
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TSUBAME2.0におけるMulti-rail InfiniBandネットワークの性能評価
野村 哲弘, Nomura Akihiro, 遠藤 敏夫, Endo Toshio, 松岡 聡, MATSUOKA SATOSHI
情報処理学会研究報告 ( 2012 ) 2012.12
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High-performance general solver for extremely large-scale semidefinite programming problems Reviewed
Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata
International Conference for High Performance Computing, Networking, Storage and Analysis, SC 93 - 93 2012.11
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Petaflop biofluidics simulations on a two million-core system Reviewed
Massimo Bernaschi, Mauro Bisson, Toshio Endo, Satoshi Matsuoka, Massimiliano Fatica, Simone Melchionna
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis 1 - 12 2011.11
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Molecular Dynamics Simulation of a Biomolecule with High Speed, Low Power and Accuracy Using GPU-Accelerated TSUBAME2.0 Supercomputer Reviewed
Shiqiao Du, Takuro Udagawa, Toshio Endo, Masakazu Sekijima
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2011) 2011.10
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Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer Reviewed
Takashi Shimokawabe, Takayuki Aoki, Tomohiro Takaki, Akinori Yamanaka, Akira Nukada, Toshio Endo, Naoya Maruyama, Satoshi Matsuoka
Proceedings of 2011 SC - International Conference for High Performance Computing, Networking, Storage and Analysis 1 - 11 2011
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An 80-fold speedup, 15.0 TFlops GPU acceleration of non-hydrostatic weather model ASUCA production code Reviewed
Takashi Shimokawabe, Takayuki Aoki, Chiashi Muroi, Junichi Ishida, Kohei Kawano, Toshio Endo, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka
2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010 2010
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Endo Toshio, Nukada Akira, Matsuoka Satoshi
Bulletin of the Japan Society for Industrial and Applied Mathematics 20 ( 2 ) 117 - 124 2010
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The Efficient Checkpoint based on Erasure Coding with Incremental Method
JITSUMOTO HIDEYUKI, NAKAMURA SYUNSUKE, ENDO TOSHIO, MATSUOKA SATOSHI
研究報告ハイパフォーマンスコンピューティング（HPC） 2009 ( 9 ) 1 - 6 2009.10
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A Study of MPI Communication on a Next Generation Optical Interconnect
TAKIZAWA Shin'ichiro, ENDO Toshio, MATSUOKA Satoshi
26 ( 3 ) 5 - 19 2009.7
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Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters
Tomoaki Hamano, Toshio Endo, Satoshi Matsuoka
2009 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-5 1912 - 1919 2009
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File Clustering Based Replication Algorithm in a Grid Environment Reviewed
Hitoshi Sato, Satoshi Matsuoka, Toshio Endo
CCGRID: 2009 9TH IEEE INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID 204 - 211 2009
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Bandwidth intensive 3-D FFT kernel for GPUs using CUDA Reviewed
A. Nukada, Y. Ogata, T. Endo, S. Matsuoka
2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis 1 - 11 2008.11
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Massive supercomputing coping with heterogeneity of modern accelerators Reviewed
Toshio Endo, Satoshi Matsuoka
2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8 1179 - 1188 2008
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Locality aware MPI communication on a commodity opto-electronic hybrid network Reviewed
Shin'ichiro Takizawa, Toshio Endo, Satoshi Matsuoka
2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8 2158 - + 2008
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An efficient, model-based CPU-GPU heterogeneous FFT library Reviewed
Yasuhito Ogata, Toshio Endo, Naoya Maruyama, Satoshi Matsuoka
2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8 380 - + 2008
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Access-Pattern and Bandwidth Aware File Replication Algorithm in a Grid Environment Reviewed
Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Naoya Maruyama
2008 9TH IEEE/ACM INTERNATIONAL CONFERENCE ON GRID COMPUTING 250 - 257 2008
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Performance evaluation of parallel applications on next generation memory architecture with power-aware paging method Reviewed
Yuto Hosogaya, Toshio Endo, Satoshi Matsuoka
2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8 862 - 869 2008
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性能モデルに基づくCPU及びGPUを併用する効率的なFFTライブラリ
尾形泰彦, 遠藤敏夫, 丸山直也, 松岡聡
情報処理学会論文誌コンピューティングシステム 1 ( 1 ) 40 - 50 2008
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ABARIS: An Adaptable Fault Detection/Recovery Component Framework for MPIs. Reviewed
Hideyuki Jitsumoto, Toshio Endo, Satoshi Matsuoka
21th International Parallel and Distributed Processing Symposium (IPDPS 2007), Proceedings, 26-30 March 2007, Long Beach, California, USA 1 - 8 2007
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High-performance MPI broadcast algorithm for grid environments utilizing multi-lane NICs Reviewed
Tatsuhiro Chiba, Toshio Endo, Satoshi Matsuoka
CCGRID 2007: SEVENTH IEEE INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID 487 - + 2007
Books
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Mitsuhisa Sato（ Role： ContributorEndo, Midorikawa, Sato: Software Technology That Deals with Deeper Memory Hierarchy in Post-petascale Era (pp, 227-248)）
Springer 2019 （ ISBN:9789811319235 ）
MISC
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スーパーコンピュータTSUBAME3.0におけるAlphaFoldのデータベースの保存方法の変更とHHblitsの最適化による性能向上
藤田隼斗, 野村哲弘, 遠藤敏夫, 遠藤敏夫, 関嶋政和
情報処理学会研究報告(Web) 2023 ( MPS-144 ) 2023
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センサー情報を意識したジョブスケジューリング実現のための標準ジョブ履歴スキーマの提案
野村, 哲弘, Nomura, Akihiro, 遠藤, 敏夫, Endo, Toshio
情報処理学会研究報告 HPC-178 ( No. 14 ) 1 - 8 2021.3
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TSUBAME2におけるジョブスケジューリング効率化への取り組みと検証
野村, 哲弘, Nomura, Akihiro, 佐々木, 淳, Sasaki, Atsushi, 三浦, 信一, Miura, Shinichi, 遠藤, 敏夫, Endo, Toshio, 松岡, 聡, MATSUOKA, SATOSHI
大学ICT推進協議会 ２０１５年度年次大会 企画セッション HPCテクノロジー 2015.12
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丸山, 直也, 鈴木, 惣一朗, 三上, 和徳, 小村, 幸浩, 滝澤, 真一朗, 松田, 元彦, 野村, 哲弘, 三浦, 信一, 遠藤, 敏夫, 松岡, 聡
ハイパフォーマンスコンピューティングと計算科学シンポジウム論文集 2015 107 - 108 2015.5
Presentations
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An Optimization Technique for Hiding Communication Costs in 3D Parallel Training of Deep Learning International coauthorship International conference
Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit
2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) 2025.5 IEEE
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Polyhedral Rescheduling of GPU Kernels To Exploit Async Memory Movement International coauthorship International conference
Ivan R. Ivanov, William Moses, Emil Vatai, Toshio Endo, Jens Domke, Oleksandr Zinenko
Ninth LLVM Performance Workshop at CGO 2025.3
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Challenges in Computing Resource Sharing Towards Next-Gen Interactive Accelerated HPC International conference
Toshio Endo, Shohei Minami, Akihiro Nomura, Hiroki Ohtsuji, Jun Kato, Masahiro Miwa, Eiji Yoshida, Tomoya Yuki, Ryuichi Sakamoto
Interactive and Urgent High-Performance Computing (CIW-IUS), in conjunction with ISC24, LNCS 15058 2024.12 Springer Nature Switzerland
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TSUBAME4.0の処理量担保のための計算ノード分割
野村 哲弘, 遠藤 敏夫
2024年度大学ICT推進協議会(AXIES)年次大会, 10AM2C-5 2024.12
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TSUBAME4.0: HPC-AI時代に向けた東京科学大学のもっとみんなのスパコン
安良岡由規, 遠藤敏夫, 野村哲弘, 渡邊 寿雄, 鶴見 慶
2024年度大学ICT推進協議会(AXIES)年次大会, 10AM1C-1 2024.12
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System Research on TSUBAME Supercomputer Series in Tokyo Tech and Science Tokyo Invited International conference
Toshio Endo
Co-Creation Monthly Seminar, Fujitsu-Co-Creation Research Lab at the University of Toronto 2024.11
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Asynchronous I/O Optimization for X-ray Imaging via GPUDirect Storage International coauthorship International conference
Du Wu, Peng Chen, Yiyu Tan, Yusuke Tanimura, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 IEEE International Conference on Cluster Computing (CLUSTER 2024) 2024.9
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Investigating Nvidia GPU Architecture Trends via Microbenchmarks International coauthorship International conference
Lingqi Zhang, Ryan Barton, Peng Chen, Xiao Wang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 IEEE International Conference on Cluster Computing (CLUSTER 2024) 2024.9
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An optimization pass for training speed-up and strategy search in 3D parallelism International coauthorship International conference
Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit
2024 IEEE International Conference on Cluster Computing (CLUSTER 2024) 2024.9
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Communication Optimization for Distributed GCN Training on ABCI Supercomputer ． 2024 IEEE International Conference on Cluster Computing (CLUSTER 2024) poster session, Kobe, Sep 24-27, 2024. International coauthorship International conference
Chen Zhuang, Peng Chen, Xin Liu, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024 IEEE International Conference on Cluster Computing (CLUSTER 2024) 2024.9
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HPC-AI時代に向けたもっとみんなのスパコンTSUBAME4.0
遠藤 敏夫, 野村 哲弘, 渡邊 寿雄, 安良岡 由規, 鶴見 慶
並列/分散/協調処理に関するサマーワークショップ(SWoPP2024)， 情報処理学会研究報告 2024.8
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Leveraging GPUDirect Storage for Efficient Image Reconstruction
Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2024), IPSJ SIG Technical Report 2024.8
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High-performance Graph Convolutional Networks Training on Fugaku and ABCI Supercomputers International coauthorship
Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2024), IPSJ SIG Technical Report 2024.8
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FRUGAL: Reducing GPU Memory Requirement of HPC Applications
Tengfei Wang, Lingqi Chang, Ivan Ivanov, Peng Chen, Toshio Endo, Mohamed Wahib
Summer United Workshops on Parallel, Distributed and Cooperative Processing (SWoPP 2024), IPSJ SIG Technical Report 2024.8
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タンパク質構造予測プログラムOmegaFoldのマルチGPUを用いた高速化
大沢 泰生, 遠藤 敏夫, 細木 隆豊
Cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG 2024) 2024.8
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スパコンTSUBAMEシリーズにおけるリソース分割戦略
野村 哲弘, 遠藤 敏夫
並列/分散/協調処理に関するサマーワークショップ(SWoPP2024)， 情報処理学会研究報告 2024.8
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Experiences with making a power measurement and submission for TSUBAME4.0, Level 3 International conference
Toshio Endo, Akihiro Nomura
EE HPC WG Workshop 2024 2024.6
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Real-time High-resolution X-Ray Computed Tomography International coauthorship International conference
Du Wu, Peng Chen, Xiao Wang, Issac Lyngaas, Takaaki Miyajima, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
Proceedings of the 38th ACM International Conference on Supercomputing 2024.5 ACM
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ステンシル計算の時間ブロッキングフレームワークの実装と評価
瓜生 侑, 遠藤 敏夫
情報処理学会研究報告 2024.5
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An optimization pass for training speed-up and strategy search in 3D parallelism International coauthorship
Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit
IPSJ SIG Technical Report 2024.5
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General and Scalable Framework for GCN Training on CPU-powered Supercomputers
Chen Zhuang, Peng Chen, Xin Liu, Toshio Endo, Mohamed Wahib
The 6th R-CCS International Symposium, poster session 2024.1
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Optimizing Matrix Multiplication on Arm Architectures
Du Wu, Peng Chen, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
The 6th R-CCS International Symposium 2024.1
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The Aggressive Oversubscribing Scheduling for Interactive Jobs on a Supercomputing System
Shohei Minami, Toshio Endo, Akihiro Nomura
The cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG 2023) 2023.8
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TSUBAMEスパコンシリーズのデータセンターとしての側面 Invited
遠藤 敏夫
電子情報通信学会集積回路研究専門委員会 LSIとシステムのワークショップ2023 2023.5
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Environmental-Aware Optimization of MPI Checkpointing Intervals
Hideyuki Jitsumoto, Toshio Endo, Satoshi Matsuoka
2008 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING 2008.9
Awards
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平成24年度科学技術分野の文部科学大臣表彰（開発部門）
2012.4 文部科学省
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2011年度情報処理学会山下記念研究賞
2012.3 IPSJ
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2011 ACM Gordon Bell Prize Special Achievements in Scalability and Time-to-Solution
2011.11 ACM
Research Projects
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Deployment of Scalable System Software for Machine Learning Technology to Saving Computing Resources
Grant number：23K28059 2023.4 - 2027.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Grant amount：\18460000 （ Direct Cost: \14200000 、 Indirect Cost：\4260000 ）
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Scalable System Software for Machine Learning on Heterogeneous Parallel Computing Environments
Grant number：20H04165 2020.4 - 2023.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Grant amount：\17550000 （ Direct Cost: \13500000 、 Indirect Cost：\4050000 ）
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ExaPath: Hierarchical Routing for Next-Gen Supercomputers and Beyond
Grant number：19H04119 2019.4 - 2024.3
日本学術振興会 科学研究費助成事業 基盤研究(B)
ドンケ イェンス, 遠藤 敏夫
Grant amount：\17160000 （ Direct Cost: \13200000 、 Indirect Cost：\3960000 ）
In FY2020, the second year of the ExaPath project, we conducted two distinct studies for routing in HPC interconnects.
The first published paper of this FY is a survey of data center and supercomputer networks, which investigates various aspects related to how multi-pathing is implemented in those systems, what type of routing they deploy, and how effectively utilize them for extensive communication loads. The survey with the title "High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers" was published in the IEEE Transactions on Parallel and Distributed Systems journal.
The second published work, a peer-reviewed poster, is based on a Bachelor's thesis of our intern from Tokyotech which was presented at the 3rd R-CCS International Symposium. This thesis and poster tackled the fault resiliency of lossless interconnects and how to perform rerouting of the network while preserving certain properties, such as deadlock-freedom.
Furthermore, we collaborated with researchers of ETH Zurich to develop a real Slimfly testbed and deploy the routing we developed in the previous FY. Simultaneously, we supervised with a colleague from ETH a second Bachelor's thesis with the topic of routing low-diameter topologies.
Lastly, we disseminated our research findings through invited talks at the ISC High Performance conference (ISC'20) in a focus session on 'Photonics & Interconnects' and discussed our work and related routing and network topics with colleagues from academia and industry at various meetings and conference. -
Autonomous HPC data center using machine learning
Grant number：19H04121 2019.4 - 2022.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)
Matsuba Hiroya
Grant amount：\17290000 （ Direct Cost: \13300000 、 Indirect Cost：\3990000 ）
To automate data center operations, we studied methods of acquiring data from data centers and reproducing them on a virtual space, as well as methods of optimizing operational policies on that virtual space.
For the former, data acquisition, we succeeded in defining a general data format and storage format that can collect general-purpose data from many data centers useful for various operations without depending on differences in data format by device or data usage. For the latter operational optimization, we succeeded in optimizing job scheduling using reinforcement learning, which automatically learns control methods, and implemented a scheduling and cooling equipment simulator as a place for such learning. -
Advancement of HPC Applications for Manufacturing Technology to Exascale
Grant number：26220002 2014.5 - 2019.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (S)
Aoki Takayuki, ONODERA Naoyuki, NUKADA Akira, ENDO Toshio
Grant amount：\188370000 （ Direct Cost: \144900000 、 Indirect Cost：\43470000 ）
In exascale supercomputers which have relatively poor memory bandwidth and low inter-node connection speed to computational performance, applications of manufacturing technology have revolutionary changes to minimize “Time-to-Solution” by introducing new numerical methods and innovative numerical algorithms. Explicit schemes, Adaptive Mesh Refinement (AMR) method and dynamic load balance extremely improve the “Time-to-Solition”and computational scales of these exascale applications for fluids, materials and particles. We have a strong confidence on execution of exascale applications for manufacturing technology.
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Fault Tolerant Infrastructure Toward Billion of Parallelization and Exa-scale Supercomputer
Grant number：23220003 2011.4 - 2016.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (S)
Matsuoka Satoshi, Hideyuki Jitsumoto, Toshio Endo, Hitoshi Sato, Naoya Maruyama, Shinichiro Takizawa, Kento Sato, Leonardo Bautista Gomez, Jens Domke
Grant amount：\213720000 （ Direct Cost: \164400000 、 Indirect Cost：\49320000 ）
Fault tolerance has been recognized as an indispensable technique for exascale computing as supercomputers grow towards billion-way of parallelism. For future exascale supercomputers, we proposed advanced fault tolerant infrastructures. The advanced fault tolerant infrastructures include a scalable checkpoint/restart library, a fault tolerant messaging interface and a highly resilient burst buffer architecture. We validated the effectiveness based on mathematical statistics. We also released the software and made impact to the community.
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Highly Scalable Software Construction Basis for Information Explosion Era
Grant number：18049015 2006 - 2010
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Priority Areas
CHIKAYAMA Takashi, YUASA Taiichi, UEDA Kazunori, TAURA Kenjiro, ENDO Toshio, YOKOYAMA Daisaku, UMATANI Seiji
Grant amount：\64600000 （ Direct Cost: \64600000 ）
To cope with the explosive increase of data amount, frameworks for flexible description of software for widely distributed highly parallel information systems are required. For this purpose, programming languages, middleware systems, and veri-fication systems for highly complicated software have been investigated, and such systems have been proposed, designed, implemented and evaluated the performance. Represent-ative resultant software systems are made open to public.
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広域分散環境における高性能で記述の容易な並列ブログラミングシステムに関する研究
Grant number：17700050 2005 - 2006
日本学術振興会 科学研究費助成事業 若手研究(B)
遠藤 敏夫
Grant amount：\3400000 （ Direct Cost: \3400000 ）
本研究の目的は,動的・ヘテロ・大遅延の特徴を持つ大規模分散環境向けの並列プログラミングシステムの設計・評価である.タスク間の複雑な依存関係が存在する計算に対応し,大規模環境の特性を考慮したプログラミング環境を対象とし,応用分散アルゴリズムも対象とした.本年度は,近年の高性能アーキテクチャの動向を踏まえ,マルチコア・マルチCPUやアクセラレータ,GPUによるヘテロ型アーキテクチャへ対応する技術の提案・評価を行った.具体的には,ヘテロなノード間において並列プロセス数の調整を行い,かつそれぞれはCPUもしくはアクセラレータにおいてカーネル部分の計算を行うことにより異種計算機資源を効率的に利用するものである.提案プログラミング手法の実装・評価を東京工業大学の大規模計算機であるTSUBAME上において行った.ノードは汎用CPUとClearSpeed SIMDアクセラレータという異種計算機資源を持つため,双方を効率的に利用するようにプロセス数の調整を,現状では手動で,行った.並列Linpackを用いた評価により,本手法が十分に大きな問題サイズを持つときにスケーラビリティが高い(weakly scalable)ことを示した.結果については電子情報通信学会研究会(招待講演として)や情報処理学会シンポジウムHPCS2007で発表を行い,また情報処理学会論文誌に採択された.本年度購入した物品のうち,小額備品のノート型パソコンについては,システムの実装や実験のために利用した.また備品のXeonサーバは,合計8CPUコアを備えるサーバであり,マルチコアアーキテクチャの性能評価のために利用した.
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Secure Programming Languages Based on Mobile Code
Grant number：12133203 2000 - 2003
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Priority Areas
YONEZAWA Akinori, OYAMA Yoshihiro, MASUHARA Hidehiko, TAURA Kenjiro
Grant amount：\37800000 （ Direct Cost: \37800000 ）
We studied secure programming languages based on mobile code. We worked on essential research issues in security of programming languages and system software from both theoretical and practical aspects. First we gave a systematic solution to problems in programming languages, which is the most important element in software development. The solution is not ad-hoc but based on a solid theory. Furthermore, we addressed research issues in system software with a systematic solution based on deep understanding of target systems. The results of this research include a secure compiler for the C programming language (Fail-Safe C), an interface definition language for Fail-Safe C, an operating system that guarantees security using type systems (Kernel Mode Linux), a system that defends networks against distributed denial of service attacks (MovingFirewall), cryptographic lambda calculus, regular expression types for string operations, self-repairing reference monitors, a fine-grain access control mechanism between program modules, programming languages that support the description of mobile code (JavaGO and JavaGoX), object usage analysis for Java, efficient regjon-based memory management for a dynamical ly-typed programming language Scheme, and a type system for access control in distributed computation. The results are highly evaluated by internat ional communit of computer science. This research had a significant impact on academic and industrial fields by releasing three software and publishing about 30 refereed papers. We received four prestigious awards including the best paper award from Japan Society for Software Science and the best technology award from Nikkei Business Publications Inc.
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Adaptive Software Substrate for High Performance Wide Area Computing
Grant number：12308012 2000 - 2002
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)
YONEZAWA Akinori, MASUHARA Hidehiko, SUMII Eijirou, TAURA Kenjirou, KOBAYASHI Naoki
Grant amount：\41120000 （ Direct Cost: \36200000 、 Indirect Cost：\4920000 ）
The objective of this project was to establish foundations for building adaptive runtime systems, which behave well under various resource conditions (of CPU, memory, and network) that reveal at runtime. Main results are as follows, (1) We established an efficient access control (e.g., mutual exclusion) method for shared data, which adapts to the degree of parallelism in the application (published in ACM PaCT). (2) We proposed a framework in which parallel applications can migrate from a set of resources to another at runtime, depending on resource conditions (published or to be published in ACM PPoPP and ACM/IEEE CCGrid). (3) We tackled the resource selection problem in which the system, given computation/communication requirements of the application and computation/communication capacity of available resources, tries to select good resources for the application automatically. It proposed the problem formulation, an algorithm assuming resource requirements and conditions do not change over time, and conducted a simulation. (4) We established a dynamic memory management scheme that can trade thread-level locality of allocated memory and the total memory requirements. (5) We achieved a very short pause time (less than 10ms) for conservative garbage collectors, which have been considered to be difficult in the community (published in ACM ISMM).
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自動メモリ管理方式を中心とした並列言語処理系の最適化に関する研究
Grant number：00J08839 2000 - 2001
日本学術振興会 科学研究費助成事業 特別研究員奨励費
遠藤 敏夫
Grant amount：\2000000 （ Direct Cost: \2000000 ）