Details of the Researcher

PHOTO

Kazuhiko Komatsu
Section
Green Goals Initiative
Job title
Professor
Degree
  • Ph.D (Information Sciences) (Tohoku University)

Research History 11

  • 2026/01 - Present
    RIKEN Visiting Researcher

  • 2025/01 - Present
    Tohoku University Green Goals Initiative, Research Center for Green X-Tech, Data Science Unit Professor

  • 2025/01 - Present
    Tohoku University Cyberscience Center Professor

  • 2024/04 - Present
    Tohoku University Institute of Multidisciplinary Research for Advanced Materials Professor (Concurrent post)

  • 2024/04 - 2024/12
    Tohoku University Cyberscience Center Professor (Research)

  • 2022/01 - 2024/03
    Tohoku University Institute of Multidisciplinary Research for Advanced Materials Associate Professor (Concurrent post)

  • 2017/10 - 2024/03
    Tohoku University Cyberscience Center Associate Professor

  • 2012/04 - 2017/09
    Tohoku University Cyberscience Center Assistant Professor

  • 2015/08 - 2015/09
    University of Siegen Simulation Techniques and Scientific Computing Visiting Researcher

  • 2008/04 - 2012/03
    Tohoku University Cyberscience Center Post-doctoral fellow

  • 2010/10 - 2010/12
    University of Stuttgart High Performance Computing Center Visiting Researcher

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Committee Memberships 72

  • International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT’22) Registration and Finance Chair

    2022/05 - Present

  • 情報処理学会 東北支部 運営委員

    2021/04 - Present

  • 文部科学省 科学技術政策研究所科学技術動向研究センター 専門調査員

    2014/04 - Present

  • 電子情報通信学会 英文論文誌D 編集委員

    2024/06 - 2028/06

  • 情報処理学会 ハイパフォーマンスコンピューティング(HPC)研究会 幹事

    2023/04 - 2027/03

  • Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems (POAT) 2026 Program Committee Member

    2026/03 - 2026/12

  • IEEE 19th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2026) Program Committee Member

    2026/02 - 2026/12

  • xSIG 2026 Program Committee Member

    2026/02 - 2026/08

  • 28th Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2026) Program committee member

    2025/11 - 2026/05

  • IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGRID2026) Program Committee Member

    2025/10 - 2026/05

  • 21st International Workshop on Automatic Performance Tuning (iWAPT2026) Program Committee Member

    2025/09 - 2026/05

  • Workshop on Multi-scale, Multi-physics, Coupled Problems and AI enhanced simulations on HPC 2026 (MMCP'26) Program committee

    2025/10 - 2026/01

  • Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems (POAT) 2025 Program Committee Member

    2025/03 - 2025/12

  • IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2025) Program Committee Member

    2025/01 - 2025/12

  • 10th International Workshop on GPU Computing and AI (GCA'25) Program Committee Member

    2025/04 - 2025/11

  • The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC25) Research/ACM SRC Posters Member

    2024/12 - 2025/11

  • International Conference on Parallel Processing (ICPP 2025) Program Committee Performance Track

    2025/02 - 2025/09

  • 31st International European Conference on Parallel and Distributed Computing (Euro-Par 2025) Program Committee Member

    2025/03 - 2025/08

  • xSIG 2025 Program Committee Member

    2025/01 - 2025/08

  • 27th Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2025) Program Committee Member

    2024/11 - 2025/06

  • 20th International Workshop on Automatic Performance Tuning (iWAPT2025) Program Committee Member

    2024/09 - 2025/06

  • IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGRID2025) Program Committee Member

    2024/12 - 2025/05

  • Multi-scale, Multi-physics, Coupled Problems and AI enhanced simulations on HPC 2025 (MMCP'25) Program Committee Member

    2024/10 - 2025/02

  • Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems (POAT) 2024 Program Committee Member

    2024/04 - 2024/12

  • IEEE 17th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2024) Program Committee Member

    2024/01 - 2024/12

  • The 9th International Workshop on GPU Computing and AI (GCA'24) Program Committee Member

    2024/04 - 2024/11

  • xSIG 2024 Program Committee Member

    2024/01 - 2024/08

  • IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid2024) Program Committee Member

    2023/09 - 2024/05

  • 19th International Workshop on Automatic Performance Tuning (iWAPT2024) Program Committee

    2023/08 - 2024/05

  • 情報処理学会論文誌コンピューティングシステムACS 編集委員

    2020/04 - 2024/03

  • 11th International Workshop on Computer Systems and Architectures (CSA'23) Program Committee Member

    2023/05 - 2023/12

  • 8th International Workshop on GPU Computing and AI (GCA'23) Program Committee Member

    2023/04 - 2023/12

  • Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems (POAT) 2023 Program Committee Member

    2023/02 - 2023/12

  • IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023) Program Committee Member

    2023/02 - 2023/12

  • 18th International Workshop on Automatic Performance Tuning (iWAPT2023) Program Committee

    2022/06 - 2023/05

  • 情報処理学会 ハイパフォーマンスコンピューティング(HPC)研究会 運営委員

    2019/04 - 2023/03

  • Program Committee member

    2022/01 - 2022/12

  • Auto-Tuning for Multicore and GPU (ATMG2022) Program Committee Member

    2022/01 - 2022/12

  • 7th International Workshop on GPU Computing and AI (GCA'22) Program Committee Member

    2021/12 - 2022/11

  • 8th International Workshop on Large-scale HPC Application Modernization (LHAM2022) Program Committee Member

    2022/04 - 2022/09

  • 17th International Workshop on Automatic Performance Tuning (iWAPT2022) Program Committee

    2021/06 - 2022/05

  • 8th International Workshop on Large-scale HPC Application Modernization (LHAM2021) Program Committee member

    2020/12 - 2021/12

  • Auto-Tuning for Multicore and GPU (ATMG2021) Program Committee Member

    2020/12 - 2021/12

  • IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2021) Program Committee member

    2019/12 - 2021/12

  • 6th International Workshop on GPU Computing and AI (GCA'21) Program Committee member

    2020/12 - 2021/11

  • ISC High Performance (ISC'21) Research Poster Committee Member

    2020/07 - 2021/06

  • 16th International Workshop on Automatic Performance Tuning (iWAPT2021) Program Committee Chair

    2020/06 - 2021/05

  • 情報処理学会 東北支部 運営委員 会計幹事

    2019/04 - 2021/03

  • HPC Asia 2021 PC member

    2020/02 - 2021/01

  • 7th International Workshop on Large-scale HPC Application Modernization (LHAM2020) Program Committee member

    2019/12 - 2020/11

  • IEEE 16th IEEE Asia Pacific Conference on Circuits and Systems (APCCAS2020) Program Committee Member

    2020/05 - 2020/10

  • 2020年度電気関係学会東北支部連合大会 実行委員

    2019/09 - 2020/08

  • 2020年度電気関係学会東北支部連合大会 プログラム委員

    2019/09 - 2020/08

  • ISC High Performance (ISC'20) Research Poster Committee Member

    2019/07 - 2020/06

  • 15th International Workshop on Automatic Performance Tuning (iWAPT2020) Program Committee Vice Chair

    2019/06 - 2020/05

  • HPC Asia 2020 PC member

    2019/02 - 2020/01

  • Auto-Tuning for Multicore and GPU (ATMG2019) Program Committee

    2018/12 - 2019/12

  • IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2019) Program Committee Member

    2018/10 - 2019/12

  • 7th International Workshop on Computer Systems and Architectures (CSA 2019) PC member

    2019/04 - 2019/11

  • 2019年度電気関係学会東北支部連合大会 プログラム委員

    2019/04 - 2019/08

  • 2019年度電気関係学会東北支部連合大会 実行委員

    2019/04 - 2019/08

  • LHAM2018 PC member

    2017/12 - 2018/11

  • ATMG2018プログラム委員会 プログラム委員長

    2017/11 - 2018/09

  • LHAM2017 PC member

    2016/12 - 2017/11

  • HPCS2017プログラム委員会 プログラム委員

    2016/12 - 2017/03

  • LHAM2016 Organizing Committee 組織委員

    2016/04 - 2017/03

  • LHAM2016 Program Committee プログラム委員

    2016/04 - 2017/03

  • HPCS2016プログラム委員会 プログラム委員

    2015/11 - 2016/03

  • HPCS2016組織委員会 組織委員

    2015/06 - 2016/03

  • LHAM2015 Organizing Committee 組織委員

    2015/04 - 2016/03

  • LHAM2015 Program Committee プログラム委員

    2015/04 - 2016/03

  • HP3C'14 Program Committee

    2013/08 - 2013/12

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Professional Memberships 4

  • ACM (Association for Computing Machinery)

  • 電子情報通信学会

  • 情報処理学会

  • IEEE (Institute of Electrical and Electronics Engineers)

Research Interests 3

  • Quantum computing

  • Data science

  • High performance computing

Research Areas 2

  • Informatics / Computer systems /

  • Informatics / High-performance computing /

Awards 18

  1. 情報処理学会第87回全国大会 学生奨励賞

    2025/03 情報処理学会 LLMを用いた三次元電子線回折データの分類に関する一検討

  2. 情報処理学会第87回全国大会 学生奨励賞

    2025/03 情報処理学会 イジングマシンを用いた救助資源配分の最適化に関する一検討

  3. 2024年度学術奨励賞

    2025/03 電子情報通信学会総合大会 渋滞解消問題を用いたイジングマシンの評価

  4. Outstanding paper award

    2024/11 Twelfth International Symposium on Computing and Networking (CANDAR 2024) Adaptive Parallelization based on Frame-level and Tile-level Parallelisms for VVC Encoding

  5. 情報処理学会第86回全国大会 学生奨励賞

    2024/03 情報処理学会 機械学習モデルを用いた断層パラメータ予測に関する一検討

  6. 情報処理学会第86回全国大会 学生奨励賞

    2024/03 情報処理学会 VVCの高速化のためのフレーム差分画像を用いたブロック分割に関する一検討

  7. 情報処理学会第85回全国大会 学生奨励賞

    2023/03 情報処理学会 複数の自動並列化情報を用いたスレッド並列化に関する一検討

  8. 情報処理学会第85回全国大会 学生奨励賞

    2023/03 情報処理学会 VVC映像符号化並列処理のための映像分割に関する一検討

  9. Best Paper Award

    2022/12 23rd International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT’22) A Partitioned Memory Architecture with Prefetching for Efficient Video Encoders

  10. Best Poster Award

    2022/04 2022 IEEE Symposium in Low-Power and High-Speed Chips A Shared Cache Architecture for VVC Coding

  11. 情報処理学会第84回全国大会 大会優秀賞

    2022/03 情報処理学会 デジタルツインタービンを用いた異常検知のための空間探索手法に関する一検討

  12. 情報処理学会第84回全国大会 学生奨励賞

    2022/03 情報処理学会 デジタルツインタービンを用いた異常検知のための空間探索手法に関する一検討

  13. Eighth International Symposium on Computing and Networking (CANDAR'20) Best Paper Award

    2020/11 Combinatorial Clustering based on an Externally-defined One-hot Constraint

  14. PaCT2019(15th International Conference on Parallel Computing Technologies) Best Paper Award

    2019/08 Analysis of relationship between SIMD-processing features used in NVIDIA GPUs and NEC SX-Aurora TSUBASA vector processors

  15. International Supercomputing Conference(ISC2019) Best poster award

    2019/06 A Skewed Multi-Bank Cache for Vector Processors

  16. 技術貢献賞

    2018/07 NEC C&C システムユーザー会 新ベクトルプロセッサ SX−Aurora TSUBASAの基本性能評価

  17. International Symposium on Computing and Networking (CANDAR'15) Best workshop paper award (International Workshop on Legacy HPC Application Migration (LHAM2015))

    2015/12/10 CANDAR'15

  18. 第10回東北支部野口研究奨励賞

    2015/06/17 情報処理学会東北支部

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Papers 143

  1. A Constraint-Handling Capability Selection Method for Quantum-Inspired Annealers Peer-reviewed

    Kotaro Bannai, Kazuhiko Komatsu, Takamasa Nakasone, Shintaro Momose, Hiroaki Kobayashi

    40th IEEE International Parallel & Distributed Processing Symposium workshop 2026

  2. An analysis of memory access patterns in RISC-V vector workloads on heterogeneous memory architectures Peer-reviewed

    Ryo Yokoyama, Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    International workshop on RISC-V for HPC at SC/HPCAsia 2026 2026/01

  3. Disaster Rescue Resource Allocation Based on the Ising Model Peer-reviewed

    Kosei Nakamoto, Masahito Kumagai, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) 274-281 2025/12/15

    Publisher: IEEE

    DOI: 10.1109/mcsoc67473.2025.00052  

  4. Classification of Three-dimensional Electron Diffraction Data with a Large Language Model Peer-reviewed

    Kazuyuki Yasuda, Masahito Kumagai, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis 96-103 2025/11/15

    Publisher: ACM

    DOI: 10.1145/3731599.3767351  

  5. Adaptive Parallelization Based on Frame‐Level and Tile‐Level Parallelisms for VVC Encoding Peer-reviewed

    Karin Onouchi, Masayuki Sato, Hiroe Iwasaki, Kazuhiko Komatsu, Hiroaki Kobayashi

    Concurrency and Computation: Practice and Experience 37 (25-26) 2025/10/20

    Publisher: Wiley

    DOI: 10.1002/cpe.70376  

    ISSN: 1532-0626

    eISSN: 1532-0634

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    ABSTRACT To meet the growing demand for high‐efficiency video compression standards, Versatile Video Coding (VVC) has been developed as a successor to High Efficiency Video Coding (HEVC). VVC offers approximately a 50% reduction in bitrate compared to HEVC while maintaining comparable visual quality. However, the improved performance of VVC comes at the cost of a significantly higher computational complexity, resulting in longer encoding times. Consequently, accelerating the VVC encoding process remains a critical challenge for its practical deployment. Leveraging the evolution of multi‐core processors and encoding tools designed for parallel processing, this study introduces an adaptive parallelization method that integrates frame‐level and tile‐level parallelisms. This method dynamically selects the number of concurrently processed frames and tiles by considering reference dependencies and their effects on coding efficiency. Moreover, the proposed method employs a content‐aware, cyclic adjustment of tile configurations to further reduce the encoding time. The evaluation results demonstrate that the proposed method can achieve a 10.58× speedup over the baseline single‐threaded implementation on average, while limiting the increase in BD‐BR to 3.23% and the degradation in BD‐PSNR to only −0.058 dB. These findings confirm that the method substantially decreases the encoding time without degrading coding efficiency. Furthermore, the results also demonstrate that the scalability of the proposed method is better than that of the conventional parallel method, Wavefront parallel processing.

  6. DETECTION OF FLOW SEPARATION USING ISING-BASED CLUSTERING Peer-reviewed

    Kazuhiko Komatsu, Neda Ebrahimi Pour, Masahito Kumagai, Frank Dressel, Hiroaki Kobayashi, Kathrin Stahl\, Alexandre Suryadi, Michaela Herr

    German Aerospace Congress 2025 (DLRK2025) 2025/09/24

  7. Single photon coherent Ising machines for constrained optimization problems Peer-reviewed

    Masahito Kumagai, Yoshitaka Inui, Edwin Ng, Satoshi Kako, Kazuhiko Komatsu, Hiroaki Kobayashi, Yoshihisa Yamamoto

    Quantum Science and Technology 10 (3) 035042-035042 2025/06/20

    Publisher: IOP Publishing

    DOI: 10.1088/2058-9565/addde5  

    eISSN: 2058-9565

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    Abstract A Coherent Ising machine (CIM) is an oscillator-network-based analog computing system to circumvent the bottleneck in von Neumann digital computing architectures. The CIM consists of a network of degenerate optical parametric oscillators (DOPOs) and is designed to find a ground state or perform Boltzmann sampling for all degenerate ground states and low-energy excited states in combinatorial optimization problems. A nonlinear measurement feedback scheme, called chaotic amplitude control (CAC), has recently been proposed to correct pulse amplitude inhomogeneity and thereby faithfully map the Ising Hamiltonian to the loss landscape of the DOPO network. However, the quantum limit of the CIM-CAC performance is not fully explored yet. This work clarifies how the quantum noise squeezing and the measurement-induced state shift in repeated indirect quantum measurements improve the system performance. From the numerical simulation on the Ising model with the Zeeman terms, obtained from combinatorial clustering problems formulated as constrained optimization problems, it is revealed that the CIM-CAC operating in a single photon per pulse regime dramatically outperforms the standard CIM-CAC with a large photon number per pulse. This is because the standard CIM-CAC is often trapped in a periodic trajectory and cannot escape from there. On the other hand, the significant improvement is brought by the noise-induced amplitude jump in the single photon CIM-CAC.

  8. Performance Evaluation of Vector Annealing on Multiple Nodes using  the Traveling Salesperson Problem Peer-reviewed

    Makoto Onoda, Kazuhiko Komatsu, Kotaro Bannai, Shintaro Momose, Masayuki Sato, Hiroaki Kobayashi

    ISC High Performance 2025 Research Paper Proceedings (40th International Conference) 1-8 2025/06/11

  9. A Compressed QUBO Format for Traveling Salesperson Problems Peer-reviewed

    Chu-Yuan Huang, Kazuhiko Komatsu, Makoto Onoda, Masahito Kumagai, Masayuki Sato, Hiroaki Kobayashi

    IEEE Workshop on Parallel Distributed Combinatorics and Optimization 287-296 2025/06/03

    DOI: 10.1109/IPDPSW66978.2025.00053  

  10. A Graph-based Molecular Structure Identification Method via Feature Extraction for Three-dimensional Electron Diffraction Data Peer-reviewed

    Yusuke Fukasawa, Kazuhiko Komatsu, Masayuki Sato, Saori Maki-Yonekura, Hirofumi Kurokawa, Koji Yonekura, Hiroaki Kobayashi

    2024 Twelfth International Symposium on Computing and Networking Workshops (CANDARW) 325-329 2024/11/26

    Publisher: IEEE

    DOI: 10.1109/candarw64572.2024.00060  

  11. Adaptive Parallelization based on Frame-level and Tile-level Parallelisms for VVC Encoding Peer-reviewed

    Karin Onouchi, Masayuki Sato, Hiroe Iwasaki, Kazuhiko Komatsu, Hiroaki Kobayashi

    2024 Twelfth International Symposium on Computing and Networking (CANDAR) 87-95 2024/11/26

    Publisher: IEEE

    DOI: 10.1109/candar64496.2024.00018  

  12. An Ising-based Decision Method for Intra Prediction Mode in Video Coding Peer-reviewed

    Takuto Momominami, Naoya Niwa, Masahito Kumagai, Kazuhiko Komatsu, Hiroaki Kobayashi, Hiroe Iwasaki

    SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis 1748-1754 2024/11/17

    Publisher: IEEE

    DOI: 10.1109/scw63240.2024.00218  

  13. File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-Core Direct Numerical Simulation Code of Turbulence Peer-reviewed

    Yuto Hatanaka, Yuki Yamane, Kenta Yamaguchi, Takashi Soga, Akihiro Musa, Takashi Ishihara, Atsuya Uno, Kazuhiko Komatsu, Hiroaki Kobayashi, Mitsuo Yokokawa

    Computational Science – ICCS 2024 14837 173-187 2024/06/30

    Publisher: Springer Nature Switzerland

    DOI: 10.1007/978-3-031-63778-0_13  

    ISSN: 0302-9743

    eISSN: 1611-3349

  14. An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence Peer-reviewed

    Mitsuo Yokokawa, Taiki Matsumoto, Ryo Takegami, Yukiya Sugiura, Naoki Watanabe, Yoshiki Sakurai, Takashi Ishihara, Kazuhiko Komatsu, Hiroaki Kobayashi

    Computational Science – ICCS 2024 14833 383-397 2024/06/27

    Publisher: Springer Nature Switzerland

    DOI: 10.1007/978-3-031-63751-3_26  

    ISSN: 0302-9743

    eISSN: 1611-3349

  15. Prediction of Steam Turbine Blade Erosion Using CFD Simulation Data and Hierarchical Machine Learning Peer-reviewed

    Issei Fukamizu, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    Journal of Engineering for Gas Turbines and Power 1-10 2024/06/25

    Publisher: ASME International

    DOI: 10.1115/1.4065815  

    ISSN: 0742-4795

    eISSN: 1528-8919

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    Abstract The information of the degree of blade erosion is vital for the efficient operation of steam turbines. However, it is nearly impossible to directly measure the degree of blade erosion during operation. Moreover, collecting sufficient data of eroded cases for predictive analysis is challenging. Therefore, this paper proposes a blade erosion prediction method using numerical simulation and machine learning. Pressure data of several blade erosion cases are collected from the numerical turbine simulation. The machine learning approach involves training on collected simulation data to predict the degree of erosion for the firststage stator (1S) and the first-stage rotor blade (1R) from internal pressure data. The proposed erosion prediction model employs a two-step hierarchical approach. First, the proposed model predicts the 1S erosion degree using the k-NN (k-Nearest Neighbor) regression. Second, the proposed model estimates the 1R erosion degree with Linear Regression models. These models are tailored for each of the 1S erosion degrees, utilizing pressure data processed through Fast Fourier Transform (FFT). The evaluation shows that the proposed method achieves the prediction of the 1S erosion with a Mean Absolute Error (MAE) of 0.000693 mm, and the 1R erosion with an MAE of 0.458 mm. The evaluation results indicate that the proposed method can accurately capture the degree of turbine blade erosion from internal pressure data. As a result, the proposed method suggests that the erosion prediction method can be effectively used to determine the optimal timing for Maintenance and Repair Operations (MRO).

  16. Quantum annealing-based algorithm for lattice gas automata Peer-reviewed

    Yuichi Kuya, Kazuhiko Komatsu, Kouki Yonaga, Hiroaki Kobayashi

    Computers & Fluids 106238-106238 2024/03

    Publisher: Elsevier BV

    DOI: 10.1016/j.compfluid.2024.106238  

    ISSN: 0045-7930

  17. Appropriate Graph-Algorithm Selection for Edge Devices Using Machine Learning Peer-reviewed

    Yusuke Fukasawa, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) 544 (551) 2023/12/18

    Publisher: IEEE

    DOI: 10.1109/mcsoc60832.2023.00086  

  18. A Constraint Partition Method for Combinatorial Optimization Problems Peer-reviewed

    Makoto Onoda, Kazuhiko Komatsu, Masahito Kumagai, Masayuki Sato, Hiroaki Kobayashi

    2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) 600 (607) 2023/12/18

    Publisher: IEEE

    DOI: 10.1109/mcsoc60832.2023.00093  

  19. Multi-scale Loss based Electron Microscopic Image Pair Matching Method Peer-reviewed

    Chunting Duan, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    In Proceedings of 22nd IEEE International Conference on Machine Learning and Applications 1957-1964 2023/12

    DOI: 10.1109/ICMLA58977.2023.00295  

  20. Investigating the Characteristics of Ising Machines Peer-reviewed

    Kazuhiko Komatsu, Makoto Onoda, Masahito Kumagai, Hiroaki Kobayashi

    Proceedings of IEEE International Conference on Quantum Computing and Engineering 939-948 2023/09/17

    DOI: 10.1109/QCE57702.2023.00108  

  21. A Study on Memory Performance Characteristics of a Clustered Architecture Peer-reviewed

    Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    16 (1) 1-13 2023/07

  22. Performance evaluation of parallel direct numerical simulation code on supercomputer SX-Aurora TSUBASA Peer-reviewed

    Mitsuo Yokokawa, Yujiro Takenaka, Takashi Ishihara, Kazuhiko Komatsu, Hiroaki Kobayashi

    Computers & Fluids 261 105913-105913 2023/07

    Publisher: Elsevier BV

    DOI: 10.1016/j.compfluid.2023.105913  

    ISSN: 0045-7930

  23. Performance Evaluation of Tsunami Evacuation Route Planning on Multiple Annealing Machines Peer-reviewed

    Yihui Liu, Kazuhiko Komatsu, Masahito Kumagai, Masayuki Sato, Hiroaki Kobayashi

    Proceedings of the 20th ACM International Conference on Computing Frontiers 185-188 2023/05/09

    Publisher: ACM

    DOI: 10.1145/3587135.3592193  

  24. I/O Performance Evaluation of a Memory-Saving DNS Code on SX-Aurora TSUBASA Peer-reviewed

    Mitsuo Yokokawa, Yuki Yamane, Kenta Yamaguchi, Takashi Soga, Taiki Matsumoto, Akihiro Musa, Kazuhiko Komatsu, Takashi Ishihara, Hiroaki Kobayashi

    2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 692-696 2023/05

    Publisher: IEEE

    DOI: 10.1109/ipdpsw59300.2023.00117  

  25. Ising-Based Kernel Clustering Peer-reviewed

    Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    Algorithms 16 (4) 214-214 2023/04/19

    Publisher: MDPI AG

    DOI: 10.3390/a16040214  

    eISSN: 1999-4893

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    Combinatorial clustering based on the Ising model is drawing attention as a high-quality clustering method. However, conventional Ising-based clustering methods using the Euclidean distance cannot handle irregular data. To overcome this problem, this paper proposes an Ising-based kernel clustering method. The kernel clustering method is designed based on two critical ideas. One is to perform clustering of irregular data by mapping the data onto a high-dimensional feature space by using a kernel trick. The other is the utilization of matrix–matrix calculations in the numerical libraries to accelerate preprocess for annealing. While the conventional Ising-based clustering is not designed to accept the transformed data by the kernel trick, this paper extends the availability of Ising-based clustering to process a distance matrix defined in high-dimensional data space. The proposed method can handle the Gram matrix determined by the kernel method as a high-dimensional distance matrix to handle irregular data. By comparing the proposed Ising-based kernel clustering method with the conventional Euclidean distance-based combinatorial clustering, it is clarified that the quality of the clustering results of the proposed method for irregular data is significantly better than that of the conventional method. Furthermore, the preprocess for annealing by the proposed method using numerical libraries is by a factor of up to 12.4 million × from the conventional naive python’s implementation. Comparisons between Ising-based kernel clustering and kernel K-means reveal that the proposed method has the potential to obtain higher-quality clustering results than the kernel K-means as a representative of the state-of-the-art kernel clustering methods.

  26. A Partitioned Memory Architecture with Prefetching for Efficient Video Encoders Peer-reviewed

    Masayuki Sato, Yuya Omori, Ryusuke Egawa, Ken Nakamura, Daisuke Kobayashi, Hiroe Iwasaki, Kazuhiko Komatsu, Hiroaki Kobayashi

    Parallel and Distributed Computing, Applications and Technologies 288-300 2023/04/08

    Publisher: Springer Nature Switzerland

    DOI: 10.1007/978-3-031-29927-8_23  

    ISSN: 0302-9743

    eISSN: 1611-3349

  27. Analysis of Precision Vectors for Ising-Based Linear Regression Peer-reviewed

    Kaho Aoyama, Kazuhiko Komatsu, Masahito Kumagai, Hiroaki Kobayashi

    Parallel and Distributed Computing, Applications and Technologies 251-261 2023/04/08

    Publisher: Springer Nature Switzerland

    DOI: 10.1007/978-3-031-29927-8_20  

    ISSN: 0302-9743

    eISSN: 1611-3349

  28. Page-Address Coalescing of Vector Gather Instructions for Efficient Address Translation Peer-reviewed

    Hikaru Takayashiki, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    Proceedings of 2022 IEEE/ACM 12th Workshop on Irregular Applications: Architectures and Algorithms (IA3) 1-8 2022/11

    DOI: 10.1109/IA356718.2022.00007  

  29. Squeezed-Quantum-Noise-Assisted Optimization for Quadratic Binary Problems by CIM-CAC

    Masahito Kumagai, Yoshihisa Yamamoto, Yoshitaka Inui, Satoshi Kako, Kazuhiko Komatsu, Hiroaki Kobayashi

    Coherent Network Computing 2022 (CNC2022) 2022/10

  30. A hierarchical wavefront method for LU-SGS Peer-reviewed

    Kazuhiko Komatsu, Yuta Hougi, Masayuki Sato, Hiroaki Kobayashi

    Computers & Fluids 245 105572-105572 2022/09

    Publisher: Elsevier BV

    DOI: 10.1016/j.compfluid.2022.105572  

    ISSN: 0045-7930

  31. A Metadata Prefetching Mechanism for Hybrid Memory Architectures Peer-reviewed

    Shunsuke TSUKADA, Hikaru TAKAYASHIKI, Masayuki SATO, Kazuhiko KOMATSU, Hiroaki KOBAYASHI

    IEICE Transactions on Electronics E105.C (6) 232-243 2022/06/01

    Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)

    DOI: 10.1587/transele.2021lhp0004  

    ISSN: 0916-8524

    eISSN: 1745-1353

  32. High-Performance GraphBLAS Backend Prototype for NEC SX-Aurora TSUBASA Peer-reviewed

    Ilya Afanasyev, Kazuhiko Komatsu, Dmitry Lichmanov, Vadim Voevodin, Hiroaki Kobayashi

    2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 221-229 2022/05

    Publisher: IEEE

    DOI: 10.1109/ipdpsw55747.2022.00050  

  33. Prediction of turbine blade condition using supervised machine learning trained by digital-twin simulation Peer-reviewed

    Issei Fukamizu, Kazuhiko Komatsu, Masahito Kumagai, Hironori Miyazawa, Takashi Furusawa, Satoru Yamamoto, Hiroaki Kobayashi

    International Conference on Parallel Computational Fluid Dynamics 2022 2022/05

  34. A Shared Cache Architecture for VVC Coding Peer-reviewed

    Yoshiaki Kondo, Masayuki Sato, Ken Nakamura, Yuya Omori, Daisuke Kobayashi, Hiroe Iwasaki, Ryusuke Egawa, Kazuhiko Komatsu, Hiroaki Kobayashi

    2022 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS) 2022/04

  35. Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines

    Kazuhiko Komatsu, Hironori Miyazawa, Cheng Yiran, Masayuki Sato, Takashi Furusawa, Satoru Yamamoto, Hiroaki Kobayashi

    Journal of Engineering for Gas Turbines and Power 144 (1) 2022/01/01

    Publisher: ASME International

    DOI: 10.1115/1.4052142  

    ISSN: 0742-4795

    eISSN: 1528-8919

  36. Optimizations of a Linear Matrix Solver in a Composite Simulation for a Vector Computer Peer-reviewed

    Zhilin He, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    2021 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) 33-37 2021/12/10

    Publisher: IEEE

    DOI: 10.1109/paap54281.2021.9720445  

  37. A dynamic parameter tuning method for SpMM parallel execution Peer-reviewed

    Bin Qi, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    Concurrency and Computation: Practice and Experience e6755 2021/12/09

    Publisher: Wiley

    DOI: 10.1002/cpe.6755  

    ISSN: 1532-0626

    eISSN: 1532-0634

  38. Ising-Based Combinatorial Clustering Using the Kernel Method Peer-reviewed

    Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) 197-203 2021/12

    Publisher: IEEE

    DOI: 10.1109/mcsoc51149.2021.00037  

  39. An Externally-Constrained Ising Clustering Method for Material Informatics Peer-reviewed

    Kazuhiko Komatsu, Masahito Kumagai, Ji Qi, Masayuki Sato, Hiroaki Kobayashi

    2021 Ninth International Symposium on Computing and Networking Workshops (CANDARW) 201-204 2021/11

    Publisher: IEEE

    DOI: 10.1109/candarw53999.2021.00040  

  40. Register Flush-free Runahead Execution for Modern Vector Processors Peer-reviewed

    Hikaru Takayashiki, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2021 IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) 114-125 2021/10

    Publisher: IEEE

    DOI: 10.1109/sbac-pad53543.2021.00023  

  41. Optimizing Load Balance in a Parallel CFD Code for a Large-scale Turbine Simulation on a Vector Supercomputer Peer-reviewed

    Osamu Watanabe, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    Supercomputing Frontiers and Innovations 8 (2) 114-130 2021/09/14

    Publisher: FSAEIHE South Ural State University (National Research University)

    DOI: 10.14529/jsfi210207  

    ISSN: 2313-8734

  42. Distributed Graph Algorithms for Multiple Vector Engines of NEC SX-Aurora TSUBASA Systems Peer-reviewed

    Ilya V. Afanasyev, Vadim V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi

    Supercomputing Frontiers and Innovations 8 (2) 95-113 2021/09/14

    Publisher: FSAEIHE South Ural State University (National Research University)

    DOI: 10.14529/jsfi210206  

    ISSN: 2313-8734

  43. Performance and Power Analysis of a Vector Computing System Peer-reviewed

    Kazuhiko Komatsu, Akito Onodera, Erich Focht, Soya Fujimoto, Yoko Isobe, Shintaro Momose, Masayuki Sato, Hiroaki Kobayashi

    Supercomputing Frontiers and Innovations 8 (2) 75-94 2021/09/14

    Publisher: FSAEIHE South Ural State University (National Research University)

    DOI: 10.14529/jsfi210205  

    ISSN: 2313-8734

  44. Efficient Mixed-Precision Tall-and-Skinny Matrix-Matrix Multiplication for GPUs Peer-reviewed

    Hao Tang, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    International Journal of Networking and Computing 11 (2) 267-282 2021/07

    Publisher: IJNC Editorial Committee

    DOI: 10.15803/ijnc.11.2_267  

    ISSN: 2185-2839

    eISSN: 2185-2847

  45. An External Definition of the One-Hot Constraint and Fast QUBO Generation for High-Performance Combinatorial Clustering Peer-reviewed

    Masahito Kumagai, Kazuhiko Komatsu, Fumiyo Takano, Takuya Araki, Masayuki Sato, Hiroaki Kobayashi

    International Journal of Networking and Computing 11 (2) 463-491 2021/07

    Publisher: IJNC Editorial Committee

    DOI: 10.15803/ijnc.11.2_463  

    ISSN: 2185-2839

    eISSN: 2185-2847

  46. A Processor Selection Method based on Execution Time Estimation for Machine Learning Programs Peer-reviewed

    Kou Murakami, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 779-788 2021/06

    Publisher: IEEE

    DOI: 10.1109/ipdpsw52791.2021.00116  

  47. Performance Evaluation of Parallel DNS Codes on the Supercomputer SX-AURORA TSUBASA Peer-reviewed

    Yujiro Takenaka, Mitsuo Yokokawa, Takashi Ishihara, Kazuhiko Komatsu, Hiroaki Kobayashi

    International Conference on Parallel Computational Fluid Dynamics 2020-2021 2021/05

  48. A hierarchical wavefront method for LU-SGS on modern multi-core vector processors Peer-reviewed

    Yuta Hougi, Kazuhiko Komatsu, Osamu Watanabe, Masayuki Sato, Hiroaki Kobayashi

    International Conference on Parallel Parallel Computational Fluid Dynamics 2020-2021 2021/05

  49. A Metadata Prefetching Mechanism for Hybrid Memory Architectures Peer-reviewed

    Shunsuke Tsukada, Hikaru Takayashiki, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2021 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS) 1-3 2021/04/14

    Publisher: IEEE

    DOI: 10.1109/coolchips52128.2021.9410321  

  50. Optimizations of DNS Codes for Turbulence on SX-Aurora TSUBASA Invited

    Yujiro Takenaka, Mitsuo Yokokawa, Takashi Ishihara, Kazuhiko Komatsu, Hiroaki Kobayashi

    Sustained Simulation Performance 2019 and 2020 51-59 2021/03

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-030-68049-7_4  

  51. Performance Evaluation of SX-Aurora TSUBASA and Its QA-Assisted Application Design Invited

    Hiroaki Kobayashi, Kazuhiko Komatsu

    Sustained Simulation Performance 2019 and 2020 3-20 2021/03

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-030-68049-7_1  

  52. A Dynamic Parameter Tuning Method for High Performance SpMM Peer-reviewed

    Bin Qi, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    Parallel and Distributed Computing, Applications and Technologies 318-329 2021/02

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-030-69244-5_28  

    ISSN: 0302-9743

    eISSN: 1611-3349

  53. A Deep Reinforcement Learning Based Feature Selector Peer-reviewed

    Yiran Cheng, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    Parallel Architectures, Algorithms and Programming 1362 378-389 2021/02

    Publisher: Springer Singapore

    DOI: 10.1007/978-981-16-0010-4_33  

    ISSN: 1865-0929

    eISSN: 1865-0937

  54. VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture Peer-reviewed

    Ilya V. Afanasyev, Vladimir V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi

    The Journal of Supercomputing 77 8694-8715 2021/01/26

    Publisher: Springer Science and Business Media LLC

    DOI: 10.1007/s11227-020-03564-9  

    ISSN: 0920-8542

    eISSN: 1573-0484

  55. Optimization of the Himeno Benchmark for SX-Aurora TSUBASA Peer-reviewed

    Akito Onodera, Kazuhiko Komatsu, Soya Fujimoto, Yoko Isobe, Masayuki Sato, Hiroaki Kobayashi

    Benchmarking, Measuring, and Optimizing 127-143 2021

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-030-71058-3_8  

    ISSN: 0302-9743

    eISSN: 1611-3349

  56. Evaluation of Tsunami Inundation Simulation using Vector-Scalar Hybrid MPI on SX-Aurora TSUBASA Peer-reviewed

    Akihiro Musa, Takashi Soga, Takashi Abe, Masayuki Sato, Kazuhiko Komatsu, Shunichi Koshimura, Hiroaki Kobayashi

    International Conference for High Performance Computing, Networking, Storage, and Analysis 2020 (SC'20) Poster 2020/11

  57. Combinatorial Clustering Based on an Externally-Defined One-Hot Constraint Peer-reviewed

    Masahito Kumagai, Kazuhiko Komatsu, Fumiyo Takano, Takuya Araki, Masayuki Sato, Hiroaki Kobayashi

    2020 Eighth International Symposium on Computing and Networking (CANDAR) 59-68 2020/11

    Publisher: IEEE

    DOI: 10.1109/candar51075.2020.00015  

  58. An Efficient Skinny Matrix-Matrix Multiplication Method by Folding Input Matrices into Tensor Core Operations Peer-reviewed

    Hao Tang, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW) 164-167 2020/11

    Publisher: IEEE

    DOI: 10.1109/candarw51189.2020.00041  

  59. Developing an Efficient Vector-Friendly Implementation of the Breadth-First Search Algorithm for NEC SX-Aurora TSUBASA Peer-reviewed

    Ilya V. Afanasyev, Vladimir V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi

    Communications in Computer and Information Science 131-145 2020/07

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-030-55326-5_10  

    ISSN: 1865-0929

    eISSN: 1865-0937

  60. Metadata Management for Large-Scale Hybrid Memory Architectures Peer-reviewed

    Shunsuke Tsukada, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    International Supercomputing Conference 2020 (ISC2020) Research Poster Session 2020/06

  61. An Evaluation of a Hierarchical Clustering Method Using Quantum Annealing Peer-reviewed

    Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi

    International Supercomputing Conference 2020 (ISC2020) Research Poster Session 2020/06

  62. Optimizations for the Himeno Benchmark on Vector Computing System SX-Aurora TSUBASA Peer-reviewed

    Akito Onodera, Kazuhiko Komatsu, Takumi Kishitani, Masayuki Sato, Yoko Isobe, Hiroaki Kobayashi

    International Supercomputing Conference 2020 (ISC2020) Research Poster Session 2020/06

  63. I/O Performance of the SX-Aurora TSUBASA Peer-reviewed

    Mitsuo Yokokawa, Ayano Nakai, Kazuhiko Komatsu, Yuta Watanabe, Yasuhisa Masaoka, Yoko Isobe, Hiroaki Kobayashi

    2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 27-35 2020/05

    Publisher: IEEE

    DOI: 10.1109/ipdpsw50202.2020.00014  

  64. Importance of Selecting Data Layouts in the Tsunami Simulation Code Peer-reviewed

    Takumi Kishitani, Kazuhiko Komatsu, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi

    2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 830-837 2020/05

    Publisher: IEEE

    DOI: 10.1109/ipdpsw50202.2020.00140  

  65. Xevolver: A code transformation framework for separation of system‐awareness from application codes Peer-reviewed

    Kazuhiko Komatsu, Ayumu Gomi, Ryusuke Egawa, Daisuke Takahashi, Reiji Suda, Hiroyuki Takizawa

    Concurrency and Computation: Practice and Experience 32 (7) e5577 2020/04/10

    DOI: 10.1002/cpe.5577  

    ISSN: 1532-0626

    eISSN: 1532-0634

  66. Energy-efficient Design of an STT-RAM-based Hybrid Cache Architecture Peer-reviewed

    Masayuki Sato, Xue Hao, Kazuhiko Komatsu, Hiroaki Kobayashi

    2020 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS) 1-3 2020/04

    Publisher: IEEE

    DOI: 10.1109/coolchips49199.2020.9097643  

  67. Performance Evaluation of SX-Aurora TSUBASA by Using Benchmark Programs Invited

    Kazuhiko Komatsu, Hiroaki Kobayashi

    Sustained Simulation Performance 2018 and 2019 69-77 2020/03

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-030-39181-2_7  

  68. Developing Efficient Implementations of Shortest Paths and Page Rank Algorithms for NEC SX-Aurora TSUBASA Architecture Peer-reviewed

    Ilya V. Afanasyev, Vadim V. Voevodin, Vladimir V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi

    Lobachevskii Journal of Mathematics 40 (11) 1753-1762 2019/11

    DOI: 10.1134/s1995080219110039  

    ISSN: 1995-0802

    eISSN: 1818-9962

  69. Optimizing Memory Layout of Hyperplane Ordering for Vector Supercomputer SX-Aurora TSUBASA Peer-reviewed

    Osamu Watanabe, Yuta Hougi, Kazuhiko Komatsu, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi

    2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC) 25-32 2019/11

    DOI: 10.1109/mchpc49590.2019.00011  

  70. A Hardware Prefetching Mechanism for Vector Gather Instructions Peer-reviewed

    Hikaru Takayashiki, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2019 IEEE/ACM 9th Workshop on Irregular Applications: Architectures and Algorithms (IA3) 59-66 2019/11

    Publisher: IEEE

    DOI: 10.1109/ia349570.2019.00015  

  71. A Skewed Multi-banked Cache for Many-core Vector Processors Peer-reviewed

    Hikaru Takayashiki, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    Supercomputing Frontiers and Innovations 6 (3) 86-101 2019/09

    Publisher: FSAEIHE South Ural State University (National Research University)

    DOI: 10.14529/jsfi190305  

    ISSN: 2313-8734

  72. A Skewed Multi-Bank Cache for Vector Processors Peer-reviewed

    Hikaru Takayashiki, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    International Supercomputing Conference(ISC2019) Poster 2019/06

  73. An Application Parameter Search Method Based on the Binary Search Algorithm for Performance Tuning Peer-reviewed

    Takumi Kishitani, Kazuhiko Komatsu, Akihiro Musa, Masayuki Sato, Hiroaki Kobayashi

    International Supercomputing Conference(ISC2019) Poster 2019/06

  74. An Appropriate Computing System and Its System Parameters Selection Based on Bottleneck Prediction of Applications Peer-reviewed

    Kazuhiko Komatsu, Takumi Kishitani, Masayuki Sato, Hiroaki Kobayashi

    2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 768-777 2019/05

    Publisher: IEEE

    DOI: 10.1109/ipdpsw.2019.00127  

  75. Perceptron-based Cache Bypassing for Way-Adaptable Caches Peer-reviewed

    Masayuki Sato, Yongcheng Chen, Haruya Kikuchi, Kazuhiko Komatsu, Hiroaki Kobayashi

    2019 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS) 1-3 2019/04

    DOI: 10.1109/coolchips.2019.8721331  

    ISSN: 2473-4683

  76. Performance Evaluation of Different Implementation Schemes of an Iterative Flow Solver on Modern Vector Machines Peer-reviewed

    Kenta Yamaguchi, Takashi Soga, Yoichi Shimomura, Thorsten Reimann, Kazuhiko Komatsu, Ryusuke Egawa, Akihiro Musa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Supercomputing Frontiers and Innovations 6 (1) 36-47 2019/03

    DOI: 10.14529/jsfi190106  

  77. Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors Peer-reviewed

    Ilya V. Afanasyev, Vadim V. Voevodin, Vladimir V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi

    International Conference on Parallel Computing Technologies 2019 (PaCT2019) 125-139 2019

    Publisher: Springer

    DOI: 10.1007/978-3-030-25636-4_10  

  78. Performance Evaluation of Tsunami Inundation Simulation on SX-Aurora TSUBASA. Peer-reviewed

    Akihiro Musa, Takashi Abe, Takumi Kishitani, Takuya Inoue, Masayuki Sato 0001, Kazuhiko Komatsu, Yoichi Murashima, Shunichi Koshimura, Hiroaki Kobayashi

    International Conference on Computational Science 2019 363-376 2019

    Publisher: Springer

    DOI: 10.1007/978-3-030-22741-8_26  

  79. Performance Evaluation of a Vector Supercomputer SX-Aurora TSUBASA Peer-reviewed

    Kazuhiko Komatsu, Shintaro Momose, Yoko Isobe, Osamu Watanabe, Akihiro Musa, Mitsuo Yokokawa, Toshikazu Aoyama, Masayuki Sato, Hiroaki Kobayashi

    SC18: International Conference for High Performance Computing, Networking, Storage and Analysis 685-696 2018/11

    DOI: 10.1109/sc.2018.00057  

  80. Developing Efficient Implementations of Bellman–Ford and Forward-Backward Graph Algorithms for NEC SX-ACE Peer-reviewed

    Ilya V. Afanasyev, Alexander S. Antonov, Dmitry A. Nikitenko, Vadim V. Voevodin, Vladimir V. Voevodin, Kazuhiko Komatsu, Osamu Watanabe, Akihiro Musa, Hiroaki Kobayashi

    SUPERCOMPUTING FRONTIERS AND INNOVATIONS 5 (3) 65-69 2018/11

    DOI: 10.14529/jsfi180311  

  81. Search Space Reduction for Parameter Tuning of a Tsunami Simulation on the Intel Knights Landing Processor Peer-reviewed

    Kazuhiko Komatsu, Takumi Kishitani, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi

    2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) 117-124 2018/09

    DOI: 10.1109/mcsoc2018.2018.00030  

  82. Expressing the Differences in Code Optimizations between Intel Knights Landing and NEC SX-ACE Processors Peer-reviewed

    Hiroyuki Takizawa, Thorsten Reimann, Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Akihiro Musa, Hiroaki Kobayashi

    13th World Congress on Computational Mechanics/2nd Pan American Congress on Computational Mechanics 2018/07

  83. Early Evaluation of a New Vector Processor SX-Aurora TSUBASA Peer-reviewed

    Kazuhiko Komatsu, Shintaro Momose, Yoko Isobe, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi

    Poster Proceedings of International Supercomputing Conference 2018/06

  84. Performance Evaluation of a Real-Time Tsunami Inundation Forecast System on Modern Supercomputers Peer-reviewed

    Akihiro Musa, Takumi Kishitani, Takuya Inoue, Hiroaki Hokari, Masayuki Sato, Kazuhiko Komatsu, Yoichi Murashima, Shunichi Koshimura, Hiroaki Kobayashi

    15th Annual Meeting Asia Oceania Geoscience Society 2018/06

  85. Migrating an Old Vector Code to Modern Vector Machines Peer-reviewed

    Hiroyuki Takizawa, Kenta Yamaguchi, Takashi Soga, Thorsten Reimann, Kazuhiko Komatsu, Ryusuke Egawa, Akihiro Musa, Hiroaki KobayashiKOMATSU Kazuhiko

    30th International Conference on Parallel Computational Fluid Dynamics 2018/05

  86. Use of Code Structural Features for Machine Learning to Predict Effective Optimizations Peer-reviewed

    Yuki Kawarabatake, Mulya Agung, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa

    2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 1049-1055 2018/05

    Publisher: IEEE

    DOI: 10.1109/ipdpsw.2018.00163  

  87. A Memory Congestion-Aware MPI Process Placement for Modern NUMA Systems Peer-reviewed

    Mulya Agung, Muhammad Alfian Amrizal, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa

    2017 IEEE 24th International Conference on High Performance Computing (HiPC) 152-161 2017/12

    DOI: 10.1109/hipc.2017.00026  

    ISSN: 1094-7256

  88. An Application-Level Incremental Checkpointing Mechanism with Automatic Parameter Tuning Peer-reviewed

    Hiroyuki Takizawa, Muhammad Alfian Amrizal, Kazuhiko Komatsu, Ryusuke Egawa

    2017 Fifth International Symposium on Computing and Networking (CANDAR) 389-394 2017/11

    DOI: 10.1109/candar.2017.96  

    ISSN: 2379-1888

  89. Designing an Open Database of System-Aware Code Optimizations Peer-reviewed

    Ryusuke Egawa, Kazuhiko Komatsu, Hiroyuki Takizawa

    2017 Fifth International Symposium on Computing and Networking (CANDAR) 369-374 2017/11

    DOI: 10.1109/candar.2017.102  

    ISSN: 2379-1888

  90. Vectorization-Aware Loop Optimization with User-Defined Code Transformations Peer-reviewed

    Hiroyuki Takizawa, Thorsten Reimann, Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Akihiro Musa, Hiroaki Kobayashi

    2017 IEEE International Conference on Cluster Computing (CLUSTER) 685-692 2017/09

    DOI: 10.1109/cluster.2017.102  

    ISSN: 1552-5244

  91. Performance and Power Analysis of SX-ACE Using HP-X Benchmark Programs Peer-reviewed

    Ryusuke Egawa, Kazuhiko Komatsu, Yoko Isobe, Toshihiro Kato, Souya Fujimoto, Hiroyuki Takizawa, Akihiro Musa, Hiroaki Kobayashi

    2017 IEEE International Conference on Cluster Computing (CLUSTER) 693-700 2017/09

    DOI: 10.1109/cluster.2017.65  

    ISSN: 1552-5244

  92. Program Optimization of Numerical Turbine for Vector Supercomputer SX-ACE Peer-reviewed

    Yuta Sakaguchi, Kenryo Kataumi, Hiroshi Matsuoka, Osamu Watanabe, Akihiro Musa, Kazuhiko Komatsu, Ryusuke Egawa, Hiroaki Kobayashi, Satoru Yamamoto

    Computers \& Fluids 2017

  93. A Directive Generation Approach to High Code-Maintainability for Various HPC Systems

    Komatsu Kazuhiko, Egawa Ryusuke, Takizawa Hiroyuki, Kobayashi Hiroaki

    International Journal of Networking and Computing 7 (2) 405-418 2017

    Publisher: IJNC Editorial Committee

    DOI: 10.15803/ijnc.7.2_405  

    ISSN: 2185-2839

    More details Close

    The emergence of various high-performance computing (HPC) systems compels users to write a code considering the characteristic of each HPC system. To describe the system-dependent information without drastic code modifications, the directive sets such as the OpenMP directive set and the OpenACC directive set are proofed to be useful. However, the code becomes complex to achieve high performance on various HPC systems because different directive sets are required for various HPC systems. Thus, the code-maintainability and readability are degraded. This paper proposes a directive generation approach that generates various kinds of directive sets using user-defined rules. Instead of using several kinds of directive sets, users only have to write special placeholders that are utilized to specify a unique code pattern where several directives are inserted. Then, the special placeholders trigger the generation of appropriate directives for each system using a user-defined rule with a code transformation framework Xevolver. Because only special placeholders are inserted in the code, the proposed approach can keep the code-maintainability and readability. From the performance evaluations of directive-based implementations on various HPC systems, it is shown that the best implementation is different among the HPC systems. Then, through the demonstration of transformation into multiple kinds of implementations, the proposed approach can successfully generate directives from a smaller number of special placeholders. Therefore, it is clarified that the proposed directive generation approach is effective to keep the maintainability of a code to be executed on various HPC systems.

  94. Potential of a modern vector supercomputer for practical applications: performance evaluation of SX-ACE. Peer-reviewed

    Ryusuke Egawa, Kazuhiko Komatsu, Shintaro Momose, Yoko Isobe, Akihiro Musa, Hiroyuki Takizawa, Hiroaki Kobayashi

    The Journal of Supercomputing 73 (9) 3948-3976 2017

    DOI: 10.1007/s11227-017-1993-y  

    ISSN: 0920-8542

    eISSN: 1573-0484

  95. Directive Translation for Various HPC Systems Using the Xevolver Framework Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Sustained Simulation Performance 2016 109-117 2016/12

    DOI: 10.1007/978-3-319-46735-1_9  

  96. A Directive Generation Approach Using User-Defined Rules Peer-reviewed

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    2016 Fourth International Symposium on Computing and Networking (CANDAR) 515-521 2016/11

    DOI: 10.1109/candar.2016.0095  

    ISSN: 2379-1888

  97. Performance Optimization of Numerical Turbine for Supercomputer SX-ACE Peer-reviewed

    Yuta Sakaguchi, Kenryo Kataumi, Hiroshi Matsuoka, Osamu Watanabe, Akihiro Musa, Kazuhiko Komatsu, Ryusuke Egawa, Hiroaki Kobayashi, Satoru Yamamoto

    Proceedings of International Conference on Parallel Computational Fluid Dynamics 2016/05

  98. Translation of Large-Scale Simulation Codes for an OpenACC Platform Using the Xevolver Framework

    Komatsu Kazuhiko, Egawa Ryusuke, Hirasawa Shoichi, Takizawa Hiroyuki, Itakura Ken'ichi, Kobayashi Hiroaki

    International Journal of Networking and Computing 6 (2) 167-180 2016

    Publisher: IJNC Editorial Committee

    DOI: 10.15803/ijnc.6.2_167  

    ISSN: 2185-2839

    More details Close

    <p>As the diversity of high-performance computing (HPC) systems increases, even legacy HPC applications often need to use accelerators for higher performance. To migrate large-scale legacy HPC applications to modern HPC systems equipped with accelerators, a promising way is to use OpenACC because its directive-based approach can prevent drastic code modifications. This paper shows translation of a large-scale simulation code for an OpenACC platform by keeping the maintainability of the original code. Although OpenACC enables an application to use accelerators by adding a small number of directives, it requires modifying the original code to achieve a high performance in most cases, which tends to degrade the code maintainability and performance portability. To avoid such code modifications, this paper adopts a code translation framework, Xevolver. Instead of directly modifying a code, a pair of a custom code translation rule and a custom directive is defined, and is applied to the original code using the Xevolver framework. This paper first shows that simply inserting OpenACC directives does not lead to high performance and non-trivial code modifications are required in practice. In addition, the code modifications sometimes decrease the performance when migrating a code to other platforms, which leads to low performance portability. The direct code modifications can be avoided by using pairs of an externally-defined translation rule and a custom directive to keep the original code unchanged as much as possible. Finally, the performance evaluation shows that the performance portability can be improved by selectively applying translation with the Xevolver framework compared with directly modifying a code.</p>

  99. Code Optimization Activities Toward a High Sustained Simulation Performance Invited

    Ryusuke Egawa, Kazuhiko Komatsu, Hiroaki Kobayashi

    Sustained Simulation Performance 2015 159-168 2015/12

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-319-20340-9_13  

  100. Performance Evaluation of Compiler-Assisted OpenMP Codes on Various HPC Systems Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Sustained Simulation Performance 2015 147-157 2015/12

    DOI: 10.1007/978-3-319-20340-9_12  

  101. Migration of an Atmospheric Simulation Code to an OpenACC Platform Using the Xevolver Framework Peer-reviewed

    Kazuhiko Komatsu, Ryusuke Egawa, Shoichi Hirasawa, Hiroyuki Takizawa, Ken'ichi Itakura, Hiroaki Kobayashi

    2015 Third International Symposium on Computing and Networking (CANDAR) 515 (520) 2015/12

    DOI: 10.1109/candar.2015.102  

    ISSN: 2379-1888

  102. An Approach to the Highest Efficiency of the HPCG Benchmark on the SX-ACE Supercomputer Peer-reviewed

    Kazuhiko Komatsu, Ryusuke Egawa, Yoko Isobe, Ryusei Ogata, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis SC15 Poster 2015/11

  103. Expressing system-awareness as code transformations for performance portability across diverse HPC systems Peer-reviewed

    Hiroyuki Takizawa, Shoichi Hirasawa, Kazuhiko Komatsu, Ryusuke Egawa a, Hiroaki Kobayashi

    Proceedings of International Workshop on Portability Among HPC Architectures for Scientific Applications 2015 1-67 2015/11

  104. An energy-efficient dynamic memory address mapping mechanism Peer-reviewed

    Masayuki Sato, Chengguang Han, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    2015 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS XVIII) 1-3 2015/04

    DOI: 10.1109/coolchips.2015.7158660  

  105. Designing an HPC Refactoring Catalog Toward the Exa-scale Computing Era

    Ryusuke Egawa, Kazuhiko Komatsu, Hiroaki Kobayashi

    Sustained Simulation Performance 2014 91-98 2014/11

    DOI: 10.1007/978-3-319-10626-7_8  

  106. Early Evaluation of the SX-ACE Processor Peer-reviewed

    Ryusuke Egawa, Shintaro Momose, Kazuhiko Komatsu, Yoko Isobe, Hiroyuki Takizawa, Akihiro Musa, Hiroaki Kobayashi

    Poster proceedings in the 27th International Conference for High Performance Computing, Networking, Storage and Analysis 2014/11

  107. Performance Evaluation of an OpenMP Parallelization by Using Automatic Parallelization Information Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Sustained Simulation Performance 2014 119-126 2014/11

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-319-10626-7_10  

  108. OpenMP Parallelization Method using Compiler Information of Automatic Optimization Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Legacy HPC Application Migration 2014 2014/09/23

  109. A compiler-assisted OpenMP migration method based on automatic parallelizing information Peer-reviewed

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8488 450-459 2014

    Publisher: Springer Verlag

    DOI: 10.1007/978-3-319-07518-1_30  

    ISSN: 1611-3349 0302-9743

  110. Exploring system architectures for next-generation CFD simulations in the postpeta-scale era

    KOMATSU Kazuhiko, EGAWA Ryusuke, TAKIZAWA Hiroyuki, SOGA Takashi, MUSA Akihiro, KOBAYASHI Hiroaki

    Journal of Fluid Science and Technology 9 (5) JFST0073-JFST0073 2014

    Publisher: The Japan Society of Mechanical Engineers

    DOI: 10.1299/jfst.2014jfst0073  

    ISSN: 1880-5558

    More details Close

    CFD simulations with uniform grids have been paid attention as a next-generation CFD simulation on a large-scale supercomputing system. The Building-Cube Method (BCM) is one of the next-generation CFD methods. The basic idea is to balance loads of calculations among processing elements on a supercomputing system by dividing the whole calculations into many parallel tasks with the same amount of computation. Thus, it is suitable for highly parallel computation on supercomputing systems. This paper firstly implements BCM on five supercomputing systems as an example of a next-generation CFD simulation in the upcoming postpeta-scale era. Then, by theoretical analyses and performance evaluations, this paper clarifies the requirements of future supercomputing systems for a next-generation CFD simulation. The performance evaluations show that as the number of processing elements increases, the imbalance of data exchanges among nodes becomes more serious than that of calculations even in a next-generation CFD simulation. While the calculation time can ideally be reduced according to the number of processing elements, the data transfer time becomes dominant in the total execution time. Different from the massively-parallel system architecture, the number of nodes in a system should be as small as possible to prevent the data transfer. The performance analyses also show that the memory bandwidth limits the performance of BCM and use of an on-chip memory is effective to improve the performance. A memory subsystem that achieves a higher sustained memory bandwidth is required. Therefore, a supercomputing system that consists of a small number of high-performance nodes is essential to achieve high sustained performance of the next-generation CFD in the up coming postpeta-scale era by reducing the data transfers, which becomes eventually a bottleneck in large-scale simulation.

  111. Design of the Next-Generation Vector Architecture for Postpeta-Scale CFD Peer-reviewed

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Takashi Soga, Akihiro Musa, Hiroaki Kobayashi

    International Conference on Fluid Dynamics(ICFD2013) 2013/11

  112. Analysing the Performance Improvements of Optimizations on Modern HPC Systems Invited

    Kazuhiko Komatsu, Toshihide Sasaki, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Sustained Simulation Performance 2013 13-25 2013/07

    Publisher: Springer International Publishing

    DOI: 10.1007/978-3-319-01439-5_2  

  113. A comparison of performance tunabilities between OpenCL and OpenACC Peer-reviewed

    Makoto Sugawara, Shoichi Hirasawa, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings - IEEE 7th International Symposium on Embedded Multicore/Manycore System-on-Chip, MCSoC 2013 147-152 2013

    Publisher: IEEE Computer Society

    DOI: 10.1109/MCSoC.2013.31  

  114. Performance Evaluation of a Next-Generation CFD on Various Supercomputing Systems Invited

    Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Sustained Simulation Performance 2012 123-132 2012/08

    Publisher: Springer Berlin Heidelberg

    DOI: 10.1007/978-3-642-32454-3_11  

  115. A Runtime Dependency Analysis Method for Task Parallelization of OpenCL Programs

    佐藤功人, 小松一彦, 滝沢寛之, 小林広明

    IPSJ Transactions on Advanced Computing Systems 5 (1) 53-67 2012/01/27

    Publisher:

    ISSN: 1882-7829

  116. Performance Evaluation of BCM on Various Supercomputing Systems Peer-reviewed

    Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi, Shun Takahashi, Daisuke Sasaki, Kazuhiro Nakahashi

    Proceedings of International Conference on Parallel Computational Fluid Dynamics 2012

  117. Improving the Scalability of Transparent Checkpointing for GPU Computing Systems Peer-reviewed

    Alfian Amrizal, Shoichi Hirasawa, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

    TENCON 2012 - 2012 IEEE REGION 10 CONFERENCE: SUSTAINABLE DEVELOPMENT THROUGH HUMANITARIAN TECHNOLOGY 2012

    DOI: 10.1109/TENCON.2012.6412343  

    ISSN: 2159-3442

  118. An Automatic Task Assignment Method for Heterogeneous Computing Systems Peer-reviewed

    Katsuto Sato, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of International Conference on Flow Dynamics 2011/11

  119. Performance of Building Cube Method on Various Platforms Peer-reviewed

    Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi, Shun Takahashi, Daisuke Sasaki, Kazuhiro Nakahashi

    Proceedings of International Conference on Flow Dynamics 2011/11

  120. Job Scheduling with Migration for Heterogeneous Computing Systems

    小山賢太郎, 佐藤功人, 小松一彦, 村田善智, 滝沢寛之, 小林広明

    IPSJ Transactions on Advanced Computing Systems 4 (4) 203-213 2011/10/05

    Publisher:

    ISSN: 1882-7829

  121. A Patch-Based Bit Mask Filtering Method for Micropolygon Rasterization Peer-reviewed

    Jiali Yao, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of High-Performance Graphics Poster 2011/08

  122. Performance of SOR methods on modern vector and scalar processors Peer-reviewed

    Takashi Soga, Akihiro Musa, Koki Okabe, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi, Shun Takahashi, Daisuke Sasaki, Kazuhiro Nakahashi

    COMPUTERS & FLUIDS 45 (1) 215-221 2011/06

    DOI: 10.1016/j.compfluid.2010.12.024  

    ISSN: 0045-7930

  123. Parallel processing of the Building-Cube Method on a GPU platform Peer-reviewed

    Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi, Shun Takahashi, Daisuke Sasaki, Kazuhiro Nakahashi

    COMPUTERS & FLUIDS 45 (1) 122-128 2011/06

    DOI: 10.1016/j.compfluid.2010.12.019  

    ISSN: 0045-7930

  124. Job scheduling with migration for heterogeneous computing systems

    小山賢太郎, 佐藤功人, 小松一彦, 村田善智, 滝沢寛之, 小林広明

    SACSIS 2011 (2011) 35-44 2011/05/18

  125. A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems Peer-reviewed

    Katsuto Sato, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

    2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications 135-142 2011/05

    Publisher: IEEE

    DOI: 10.1109/ispa.2011.36  

  126. CheCL: Transparent checkpointing and process migration of OpenCL applications Peer-reviewed

    Hiroyuki Takizawa, Kentaro Koyama, Katsuto Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    Proceedings - 25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011 864-876 2011

    DOI: 10.1109/IPDPS.2011.85  

  127. A Runtime Task Reallocation Library for Heterogeneous Computational Environments Peer-reviewed

    Katsuto Sato, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of International Conference on Flow Dynamics 2010/11

  128. Efficient Data Management for the Building Cube Method using Cartesian Meshes on the GPU Platform Peer-reviewed

    Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi, Shun Takahashi, Daisuke Sasaki, Kazuhiro Nakahashi

    Proceedings of International Supercomputing Conference Poster 2010/06

  129. Evaluating Performance and Portability of OpenCL Programs Peer-reviewed

    Kazuhiko Komatsu, Katsuto Sato, Yusuke Arai, Kentaro Koyama, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of International Workshop on Automatic Performance Tuning 2010/06

  130. Performance of SOR Methods on Vector Processor SX-9 Peer-reviewed

    Takashi Soga, Akihiro Musa, Koki Okabe, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi, Shun Takahashi, Daisuke Sasaki, Kazuhiro Nakahashi

    Proceedings of International Conference on Parallel Computational Fluid Dynamics 2010/05

  131. A Fast Ray-Tracing Using Bounding Spheres and Frustum Rays for Dynamic Scene Rendering Peer-reviewed

    Ken-ichi Suzuki, Yoshiyuki Kaeriyama, Kazuhiko Komatsu, Ryusuke Egawa, Nobuyuki Ohba, Hiroaki Kobayashi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E93D (4) 891-902 2010/04

    DOI: 10.1587/transinf.E93.D.891  

    ISSN: 1745-1361

  132. A High-level Programming Framework for Efficient Hybrid-architecture Computing Invited

    Kazuhiko Komatsu, Kentaro Koyama, Katsuto Sato, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of SIAM Conference on Parallel Processing for Scientific Computing Minisymposium 2010/02

  133. Automatic tuning of CUDA execution parameters for stencil processing Peer-reviewed

    Katsuto Sato, Hiroyuki Takizawa, Kazuhiko Komatsu, Hiroaki Kobayashi

    Software Automatic Tuning: From Concepts to State-of-the-Art Results 209-228 2010

    Publisher: Springer New York

    DOI: 10.1007/978-1-4419-6935-4_13  

  134. CheCUDA: A Checkpoint/Restart Tool for CUDA Applications Peer-reviewed

    Hiroyuki Takizawa, Katsuto Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2009 International Conference on Parallel and Distributed Computing, Applications and Technologies 408-413 2009/12

    DOI: 10.1109/pdcat.2009.78  

  135. A Fast Ray Frustum-Triangle Intersection Algorithm with Precomputation and Early Termination Peer-reviewed

    Kazuhiko Komatsu, Yoshiyuki Kaeriyama, Kenichi Suzuki, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of High Performance Computing Symposium 81-88 2008

  136. An Efficient Intersection Algorithm Design of Ray Tracing For Many-Core Graphics Processors Peer-reviewed

    Kazuhiko Komatsu, Yoshiyuki Kaeriyama, Kenichi Suzuki, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of Computer Graphics and Imaging 315-320 2008

  137. Hierarchical Parallel Processing of Ray Tracing on a Cell Cluster Peer-reviewed

    Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

    Proceedings of International Workshop on Super Visualization 2008

  138. A Fast Ray Frustum-Triangle Intersection Algorithm with Precomputation and Early Termination

    Komatsu Kazuhiko, Kaeriyama Yoshiyuki, Suzuki Kenichi, Takizawa Hiroyuki, Kobayashi Hiroaki

    IPSJ Online Transactions 1 (1) 1-11 2008

    Publisher: Information Processing Society of Japan

    DOI: 10.2197/ipsjtrans.1.1  

    ISSN: 1882-6660

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    Although ray tracing is the best approach to high-quality image synthesis, much time is required to generate images due to its huge amount of computation. In particular, ray-primitive intersection tests still dominate the execution time required for ray tracing, and faster ray-primitive intersection algorithms are strongly required to interactively generate higher-quality images with more advanced effects. This paper presents a new fast algorithm for the intersection tests that makes a good use of ray and object coherence in ray tracing. The proposed algorithm utilizes the features whereby the rays in a bundle share the same origin and have massive coherence. By reducing the redundant calculations in the innermost intersection tests for the bundles by precomputation and early termination, the proposed algorithm accelerates the intersection tests. Experimental results show that the proposed algorithm achieves 1.43 times faster intersection tests compared with M&ouml;ller's algorithm by exploiting the features of the bundles of rays.

  139. LI-004 Accelerating Moller Intersection Algorithm Using Ray Packets

    Komatsu Kazuhiko, Kaeriyama Yoshiyuki, Suzuki Kenichi, Kobayashi Hiroaki, Nakamura Tadao

    6 (6) 265-268 2007/08/22

    Publisher: Forum on Information Technology

    More details Close

    Many implementation methods of ray tracing have been proposed, however, execution time of rayprimitive intersection tests still dominate the total execution of rendering, and faster algorithms have been strongly required. This paper presents a new fast algorithm for the intersection tests between packets of rays and triangles. Experimental results show that the proposed algorithm achieves faster intersection tests by exploiting the feature of the packets of rays.

  140. Programmable Graphics Hardware for Image Synthesis Using the Global Illumination Model Peer-reviewed

    Yoshiyuki Kaeriyama, Daichi Zaitsu, Kazuhiko Komatsu, Kenichi Suzuki, Nobuyuki Ohba, Tadao Nakamura

    Proceedings of International Symposium on Low-Power and High-Speed Chips(COOL Chips IX) 183-185 2006

  141. Hardware for a Ray Tracing Technique Using Plane-Sphere Intersections Peer-reviewed

    Yoshiyuki Kaeriyama, Daichi Zaitsu, Kazuhiko Komatsu, Kenichi Suzuki, Nobuyuki Ohba, Tadao Nakamura

    Proceedings of Eurographics Symposium on Parallel Graphics and Visualization 9-12 2006

  142. Ray tracing hardware system using plane-sphere intersections Peer-reviewed

    Yoshiyuki Kaeriyama, Daichi Zaitsu, Kazuhiko Komatsu, Kenichi Suzuki, Tadao Nakamura, Nobuyuki Ohba

    2006 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS, PROCEEDINGS 315-320 2006

    DOI: 10.1109/FPL.2006.311231  

    ISSN: 1946-1488

  143. Packet-Primitive Intersection Method Peer-reviewed

    Kazuhiko Komatsu, Yoshiyuki Kaeriyama, Daichi Zaitsu, Kenichi Suzuki, Nobuyuki Ohba, Tadao Nakamura

    Poster Compendium of IEEE Symposium on Interactive Ray Tracing 6-6 2006

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    仙台市スタートアップスタジオ構築プロジェクト ハンズオン支援プログラム 2024/03/15

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    ISSN: 0286-7419

  16. 東北大学サイバーサイエンスセンター高速化推進研究活動報告書(第6号)

    小林広明, 岡部公起, 滝沢寛之, 江川隆輔, 小松一彦, 大泉健治, 小野 敏, 山下毅, 佐々木大輔, 森谷友映, 齋藤敦子, 撫佐昭裕, 松岡浩司, 渡部修 他

    2015/04

  17. 高速化推進研究活動報告

    江川隆輔, 小松一彦, 小林広明

    高速化推進研究活動報告 第6号 2-7 2015/02

  18. ベクトルコンピュータにおける高速化

    小林広明, 江川隆輔, 小松一彦, 岡部公起, 大泉健治, 小野敏, 山下毅, 佐々木大輔, 森谷友映, 齋藤敦子, 撫佐昭裕, 松岡浩司, 渡部修, 曽我隆, 山口健太

    高速化推進研究活動報告 第6号 13-60 2015/02

  19. MPI化による高速化

    小林広明, 江川隆輔, 小松一彦, 岡部公起, 大泉健治, 小野敏, 山下毅, 佐々木大輔, 森谷友映, 齋藤敦子, 撫佐昭裕, 松岡浩司, 渡部修, 曽我隆, 山口健太

    高速化推進研究活動報告 第6号 61-78 2015/02

  20. SC14報告

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 48 (1) 66-66 2015/01

    Publisher: 東北大学サイバーサイエンスセンター

    ISSN: 0286-7419

  21. サイバーサイエンスセンターオープンキャンパス報告

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 47 (4) 26-26 2014/10

    Publisher: 東北大学サイバーサイエンスセンター

    ISSN: 0286-7419

  22. 東北大学サイバーサイエンスセンターにおける分子動力学シミュレーションコードの高速化支援について Invited

    森谷 友映, 佐々木大輔, 山下 毅, 小野 敏, 大泉 健治, 小松 一彦, 江川 隆輔, 小林 広明

    SENAC : 東北大学大型計算機センター広報 47 (1) 51-56 2014/01

  23. SC13報告

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 47 (1) 65-65 2014/01

    Publisher: 東北大学サイバーサイエンスセンター

    ISSN: 0286-7419

  24. サイバーサイエンスセンターオープンキャンパス報告

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 46 (4) 27-27 2013/10

    Publisher: 東北大学サイバーサイエンスセンター

    ISSN: 0286-7419

  25. マルチプラットフォームにおける最適化手法の効果に関する一検討

    小松一彦, 佐々木俊英, 江川隆輔, 滝沢寛之, 小林広明

    研究報告ハイパフォーマンスコンピューティング(HPC) 2013 (24) 1-7 2013/07/24

    Publisher: 一般社団法人情報処理学会

    More details Close

    近年,HPC システムの多様化が進んでおり,特徴の異なる複数種類の HPC システムにおいて高い性能を引き出すことができる,性能可搬性の高い HPC コードの開発が強く求められている.本研究では,各種 HPC システム向けの最適化手法が HPC コードの性能に与える効果を詳細に解析し,その知見に基づいて性能可搬性の高い HPC コードを開発することを目的としている.本報告では,異なる手動最適化同士や自動最適化を組み合わせた場合の HPC コードの性能可搬性を解析する.HPC システムごとに,それぞれの手動最適化同士や自動最適化の組み合わせによる相乗効果を評価し,性能可搬性の低下を引き起こす可能性のある最適化について議論する.

  26. テクニカルアシスタント自己紹介

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 46 (3) 47-47 2013/07

  27. SC12報告

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 46 (1) 68-68 2013/01

    Publisher: 東北大学サイバーサイエンスセンター

    ISSN: 0286-7419

  28. スタッフ便り

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 46 (1) 76-76 2013/01

  29. 大規模並列システムのノード間通信を考慮した性能モデルに関する一検討

    安田一平, 小松一彦, 江川隆輔, 小林広明

    研究報告ハイパフォーマンスコンピューティング(HPC) 2012 (7) 1-6 2012/12/06

    More details Close

    近年,大規模並列システムのノード数が増大するのに伴い,その高い演算性能を引き出すためには各ノードの演算性能ばかりではなく,ノード間の通信性能を考慮する必要がある.そのため,大規模化したシステムにおいて,容易にアプリケーションの性能解析を示すことができる手法が求められている.アプリケーションの性能解析や,最適化指針を与える方法として,性能モデルを用いたボトルネック解析が挙げられる.しかしながら,ノード間の通信を考慮した性能モデルや性能モデルに基づく解析・最適化手法は確立されていない.本報告ではノード間の通信を考慮したシステムの性能モデルを提案し, SX-9, Nehalem EX クラスタ, FX1, FX10, SR16000 の 5 つの大規模並列システムを用いて提案するモデルの妥当性を調査する.

  30. サイバーサイエンスセンターオープンキャンパス報告

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 45 (4) 52-52 2012/10

    Publisher: 東北大学サイバーサイエンスセンター

    ISSN: 0286-7419

  31. Implementation and Evaluation of the Nanopowder Growth Simulation with OpenACC

    2012 (10) 1-7 2012/09/26

  32. Performance Portability Issues on Modern HPC Systems

    2012 (27) 1-8 2012/09/26

  33. 大規模計算システムにおけるBCMの性能評価 Invited

    小松 一彦, 曽我 隆, 江川 隆輔, 滝沢 寛之, 小林 広明

    SENAC : 東北大学大型計算機センター広報 45 (3) 17-25 2012/07

  34. 新テクニカルアシスタント自己紹介

    小松一彦

    東北大学サイバーサイエンスセンター 大規模科学計算システム広報 SENAC 45 (3) 53-53 2012/07

  35. Evaluation of GPU Computing Based on An Automatic Program Generation Technology

    2011 (18) 1-7 2011/07/20

  36. A Fast Ray-Tracing Using Bounding Spheres and Frustum Rays for Dynamic Scene Rendering

    SUZUKI Ken-ichi, KAERIYAMA Yoshiyuki, KOMATSU Kazuhiko, EGAWA Ryusuke, OHBA Nobuyuki, KOBAYASHI Hiroaki

    IEICE Transactions on Information and Systems 93 (4) 891-902 2010/04/01

    Publisher: The Institute of Electronics, Information and Communication Engineers

    DOI: 10.1587/transinf.E93.D.891  

    ISSN: 0916-8532

    More details Close

    Ray tracing is one of the most popular techniques for generating photo-realistic images. Extensive research and development work has made interactive static scene rendering realistic. This paper deals with interactive dynamic scene rendering in which not only the eye point but also the objects in the scene change their 3D locations every frame. In order to realize interactive dynamic scene rendering, RTRPS (Ray Tracing based on Ray Plane and Bounding Sphere), which utilizes the coherency in rays, objects, and grouped-rays, is introduced. RTRPS uses bounding spheres as the spatial data structure which utilizes the coherency in objects. By using bounding spheres, RTRPS can ignore the rotation of moving objects within a sphere, and shorten the update time between frames. RTRPS utilizes the coherency in rays by merging rays into a ray-plane, assuming that the secondary rays and shadow rays are shot through an aligned grid. Since a pair of ray-planes shares an original ray, the intersection for the ray can be completed using the coherency in the ray-planes. Because of the three kinds of coherency, RTRPS can significantly reduce the number of intersection tests for ray tracing. Further acceleration techniques for ray-plane-sphere and ray-triangle intersection are also presented. A parallel projection technique converts a 3D vector inner product operation into a 2D operation and reduces the number of floating point operations. Techniques based on frustum culling and binary-tree structured ray-planes optimize the order of intersection tests between ray-planes and a sphere, resulting in 50% to 90% reduction of intersection tests. Two ray-triangle intersection techniques are also introduced, which are effective when a large number of rays are packed into a ray-plane. Our performance evaluations indicate that RTRPS gives 13 to 392 times speed up in comparison with a ray tracing algorithm without organized rays and spheres. We found out that RTRPS also provides competitive performance even if only primary rays are used.

  37. Implementation and Evaluation of a Checkpint/Restart Tool for CUDA Applications

    TAKIZAWA HIROYUKI, SATO KATSUTO, KOMATSU KAZUHIKO, KOBAYASHI HIROAKI

    122 (7) G1-G7 2009/10/09

    Publisher: 情報処理学会

    ISSN: 0919-6072

  38. C-024 An Auction based Resource Allocation Considering Multifaceted Utilities in a Peer to Peer Environment

    Satayapiwat Chainan, Komatsu Kazuhiko, Egawa Ryusuke, Takizawa Hiroyuki, Kobayashi Hiroaki

    8 (1) 491-494 2009/08/20

    Publisher: Forum on Information Technology

    More details Close

    Recently, many market-based approaches have been studied as one of the promising alternatives in a resource allocation problem. Especially, auction-based approaches are widely chosen due to its distributed nature and its relatively lower complexity. However, employing an auction to allocate jobs is only suitable for homogeneous environments of resources. This paper proposes an auction-based resource allocation mechanism which enables resource allocation in a heterogeneous environment while minimizing user's inputs. Our preliminary results show that our resource allocation mechanism improves the performance of important jobs during high-loaded.

  39. C-023 Performance Evaluation towards BLAS with Automatic Processor Selection

    Komatsu Kazuhiko, Koyama Kentaro, Sato Katsuto, Takizawa Hiroyuki, Kobayashi Hiroaki

    8 (1) 485-490 2009/08/20

    Publisher: Forum on Information Technology

  40. Early evaluation of linear algebra libraries for GPU computing

    Proceedings of the conference on computational engineering and science 14 (1) 289-292 2009/05

    Publisher: 日本計算工学会

    ISSN: 1342-145X

  41. A Fast Ray Frustum-Triangle Intersection Algorithm with Precomputation and Early Termination

    Kazuhiko Komatsu, Yoshiyuki Kaeriyama, Kenichi Suzuki, Hiroyuki Takizawa, Hiroaki Kobayashi

    1 (1) 85-95 2008/06/26

    Publisher: 情報処理学会

    ISSN: 1882-7829

    More details Close

    Although ray tracing is the best approach to high-quality image synthesis much time is required to generate images due to its huge amount of computation. In particular ray-primitive intersection tests still dominate the execution time required for ray tracing and faster ray-primitive intersection algorithms are strongly required to interactively generate higher-quality images with more advanced effects. This paper presents a new fast algorithm for the intersection tests that makes a good use of ray and object coherence in ray tracing. The proposed algorithm utilizes the features whereby the rays in a bundle share the same origin and have massive coherence. By reducing the redundant calculations in the innermost intersection tests for the bundles by precomputation and early termination the proposed algorithm accelerates the intersection tests. Experimental results show that the proposed algorithm achieves 1.43 times faster intersection tests compared with M&ouml;ller's algorithm by exploiting the features of the bundles of rays.Although ray tracing is the best approach to high-quality image synthesis, much time is required to generate images due to its huge amount of computation. In particular, ray-primitive intersection tests still dominate the execution time required for ray tracing, and faster ray-primitive intersection algorithms are strongly required to interactively generate higher-quality images with more advanced effects. This paper presents a new fast algorithm for the intersection tests that makes a good use of ray and object coherence in ray tracing. The proposed algorithm utilizes the features whereby the rays in a bundle share the same origin and have massive coherence. By reducing the redundant calculations in the innermost intersection tests for the bundles by precomputation and early termination, the proposed algorithm accelerates the intersection tests. Experimental results show that the proposed algorithm achieves 1.43 times faster intersection tests compared with M&ouml;ller's algorithm by exploiting the features of the bundles of rays.

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Presentations 97

  1. 位相コントラストCTのための画像再構成の高速化 Invited

    小松 一彦, 高山 裕貴

    第39回日本放射光学会年会・放射光科学合同シンポジウム 2026/01/09

  2. Feasibility study of Quantum-Hybrid Operational Environments Invited

    Kazuhiko Komatsu

    SC25 Booth Presentation 2025/11/18

  3. 量子機械学習共通ライブラリの研究開発 Invited

    小松一彦

    NexTech Week[秋]特別企画「Quantum Square」 2025/10/09

  4. これからのHPC研究に向けて Invited

    片桐 孝洋, 小林 諒平, 三木 洋平, 小松 一彦

    第201回ハイパフォーマンスコンピューティング研究発表会 (HPC201) 2025/09/29

  5. 組合せ最適化問題のための疑似量子アニーリングマシンの制約機能に関する検討

    伴内光太郎, 小松一彦, 中曽根才将, 百瀬真太郎, 小林広明

    2025年並列/分散/協調処理に関するサマー・ワークショップ(SWoPP 2025) 2025/08/04

  6. 次世代計算基盤におけるイジングマシンとその応用 Invited

    小松一彦, 高野了成, Jeremy Woo, 片桐孝洋, 工藤 和恵, 坂本 大, 百瀬 真太郎, 関 優也

    2025年並列/分散/協調処理に関するサマー・ワークショップ(SWoPP 2025) 2025/08/04

  7. LLMを用いた三次元電子線回折データの分類に関する一検討

    安田和幸, 深澤祐輔, 熊谷政仁, 佐藤雅之, 小松一彦, 小林広明

    情報処理学会第87回全国大会 2025/03/15

  8. イジングマシンを用いた救助資源配分の最適化に関する一検討

    中本光星, 小松一彦, 佐藤雅之, 小林広明

    情報処理学会第87回全国大会 2025/03/13

  9. A Constraint Partition Method for Combinatorial Optimization Problems Invited

    Kazuhiko Komatsu

    2024/06/21

  10. A Constraint Partition Method for Combinatorial Optimization Problems Invited

    Kazuhiko Komatsu

    37th Workshop on Sustained Simulation Performance 2024/06/18

  11. A Constraint Partition Method for Efficiently Solving Combinatorial Optimization Problems Invited

    Kazuhiko Komatsu

    NUG XXXV 2024/06/13

  12. 量子・疑似量子アニーリングマシンに関する調査研究 Invited

    小松一彦

    次世代計算基盤に係る調査研究 新計算原理研究チーム報告会 2024/05/29

  13. イジングモデルに基づく量子クラスタリングフレームワーク

    熊谷 政仁, 小松 一彦, 小野田 誠, 小林 広明

    第11回量子ソフトウェア研究発表会 2024/03/28

  14. 巡回セールスマン問題による並列ベクトルアニーリングの評価

    小野田 誠, 小松 一彦, 伴内 光太郎, 百瀬 真太郎, 佐藤 雅之, 小林 広明

    第193回ハイパフォーマンスコンピューティング研究発表会 2024/03/19

  15. VVCの高速化のためのフレーム差分画像を用いたブロック分割に関する一検討

    原田零生, 近藤嘉昭, 佐藤雅之, 岩崎裕江, 小松一彦, 小林広明

    情報処理学会 第86回全国大会 2024/03/17

  16. イジングマシンを用いた救助経路の最適化に関する一検討

    長南和希, 小松一彦, 佐藤雅之, 小林広明

    情報処理学会 第86回全国大会 2024/03/15

  17. 機械学習モデルを用いた断層パラメータ予測に関する一検討

    JEONG SANGUK, 小松一彦, 佐藤雅之, 小林広明

    情報処理学会第86回全国大会 2024/03/17

  18. 渋滞解消問題を用いたイジングマシンの評価

    百南匠人, 丹羽直也, 小松一彦, 岩崎裕江, 小林広明

    2024年電子情報通信学会総合大会 2024/03/07

  19. イジングマシンを用いた電気自動車シェアのための定式化

    熊谷政仁, 深水一聖, 小野田誠, 小松一彦, 小林広明

    第247回システム・アーキテクチャ・第192回ハイパフォーマンスコンピューティング合同研究発表会 2023/12/05

  20. Performance Evaluation of Ising Machines using Constraint Combinatorial Optimization Problems Invited

    Kazuhiko Komatsu, Makoto Onoda, Masahito Kumagai, Hiroaki Kobayashi

    10th International Congress on Industrial and Applied Mathematics (ICIAM 2023) 2023/08/24

  21. コンピュータ研究者は、量子コンピュータを研究する(勉強する)必要があるのだろうか? Invited

    天野 英晴, 谷本輝夫, 上野洋典, 小松一彦, 佐野健太郎, 平木敬

    並列/分散/協調処理に関するサマー・ワークショップ (SWoPP2023) 2023/08/04

  22. A feasibility study of quantum annealing for the next-generation computing infrastructure Invited

    Kazuhiko Komatsu

    35th Workshop on Sustained Simulation Performance (WSSP’35), 2023/04/14

  23. 複数の自動並列化情報を用いたスレッド並列化に関する一検討

    坂本龍介, 小松一彦, 佐藤雅之, 小林広明

    情報処理学会 第85回全国大会 2023/03/03

  24. QUBO問題における制約重み分割による解の高精度化に関する一検討

    小野田誠, 小松一彦, 熊谷政仁, 佐藤雅之, 小林広明

    情報処理学会 第85回全国大会 2023/03/03

  25. 機械学習を用いたグラフアルゴリズムの実行時間予測に関する一検討

    深澤祐輔, 小松一彦, 佐藤雅之, 小林広明

    情報処理学会 第85回全国大会 2023/03/03

  26. VVC映像符号化並列処理のための映像分割に関する一検討

    小野内花倫, 近藤嘉昭, 佐藤雅之, 岩崎裕江, 小松一彦, 小林広明

    情報処理学会 第85回全国大会 2023/03/02

  27. A feasibility study of quantum computing for the next-generation computing infrastructure: Early evaluation of annealing machines Invited

    Kazuhiko Komatsu

    34th Workshop on Sustained Simulation Performance 2022/10/24

  28. 組み合わせクラスタリングによるアニーリングマシンの評価

    小松 一彦, 小野田 誠, 熊谷 政仁, 小林 広明

    第185回ハイパフォーマンスコンピューティング研究発表会(SWoPP2022) 2022/07/29

  29. クラスタ型アーキテクチャにおけるメモリ性能特性に関する一検討

    佐藤 雅之, 小松 一彦, 小林 広明

    xSIG 2022 2022/07/27

  30. Combinatorial Clustering for a Material Informatics Application using Aurora Vector Annealing Invited

    Kazuhiko Komatsu

    33rd Workshop on Sustained Simulation Performance 2022/05/23

  31. デジタルツインタービンを用いた異常検知のための空間探索手法に関する一検討

    深水一聖, 小松一彦, 熊谷政仁, 小林広明

    情報処理学会 第84回全国大会 2022/03/03

  32. 制約を含むQUBO問題のための探索空間分割に関する一考察

    小野田誠, 熊谷政仁, 小松一彦, 小林広明

    令和3年度情報処理学会東北支部研究会 2022/02/21

  33. Optimization of the stencil computation considering the architecture of SX-Aurora TSUBASA Invited

    Kazuhiko Komatsu

    Workshop on Sustained Simulation Performance 2021 2021/03/18

  34. 非圧縮性乱流DNSコードに現れる高速フーリエ変換のSX-Aurora TSUBASAにおける性能評価

    武中裕次郎, 横川三津夫, 石原卓, 小松一彦, 小林広明, 今村俊幸, 清水智也

    第178回ハイパフォーマンスコンピューティング研究発表会 2021/03/08

  35. 複合型メインメモリのメタデータ管理のためのデータアクセス解析

    塚田 竣介, 佐藤 雅之, 高屋敷 光, 小松 一彦, 小林 広明

    第241回システム・アーキテクチャ(ARC)研究発表会 2020/07/23

  36. 姫野ベンチマークを用いたベクトル計算システムSX-Aurora TSUBASAの性能評価

    小野寺 明人, 小松 一彦, 磯部 洋子, 佐藤 雅之, 小林 広明

    2020年電子情報通信学会総合大会 2020/03/20

  37. 複合型メインメモリのためのメタデータ管理手法に関する一考察

    塚田 竣介, 佐藤 雅之, 小松 一彦, 小林 広明

    2020年電子情報通信学会総合大会 2020/03/20

  38. 量子アニーリングを用いたクラスタリング手法の評価

    熊谷 政仁, 小松 一彦, 佐藤 雅之, 小林 広明

    2020年電子情報通信学会総合大会 2020/03/20

  39. 建物・地盤地震動応答シミュレーションのベクトル計算機向け最適化

    後藤 啓, 横川 三津夫, 坂 敏秀, 小松 一彦, 小林 広明

    第173回ハイパフォーマンスコンピューティング研究発表会 2020/03

  40. SX-Aurora TSUBASAの入出力性能の評価

    中井 彩乃, 横川 三津夫, 小松 一彦, 渡辺 裕太, 磯部 洋子, 小林 広明

    第172回ハイパフォーマンスコンピューティング研究発表会 2019/12

  41. A System and its System Parameter Selection based on Bottleneck Prediction International-presentation Invited

    KOMATSU Kazuhiko

    Workshop on Sustained Simulation Performance 30 2019/10

  42. A Virtual Machine Allocation Algorithm Based on Reinforcement Learning for Cloud Computing Systems

    Chen Zhenyu, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2019 Tohoku-Section Joint Convention of Institutes of Electrical and Information Engineers 2019/08

  43. A Refreshing Policy for eDRAM Last-Level Caches

    Yiting Wang, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2019 Tohoku-Section Joint Convention of Institutes of Electrical and Information Engineers 2019/08

  44. A Pure STT-RAM Hybrid Cache Architecture for Last-Level Caches

    Hao Xue, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

    2019 Tohoku-Section Joint Convention of Institutes of Electrical and Information Engineers 2019/08

  45. ベクトルコンピュータを用いた機械学習の高速化に関する研究

    村上洸, 佐藤雅之, 小松一彦, 小林広明

    電気関係学会東北支部連合大会 2019/08

  46. ベクトルコンピュータを用いた数値タービンの高速化に関する一検討

    法木祐太, 佐藤雅之, 小松一彦, 小林広明

    電気関係学会東北支部連合大会 2019/08

  47. ベクトル間接参照命令のためのプリフェッチに関する一検討

    高屋敷 光, 佐藤 雅之, 小松 一彦, 小林 広明

    第237回システム・アーキテクチャ(ARC)研究発表会 2019/07/17

  48. Performance Evaluation of a Brand-New Vector Supercomputer SX-Aurora TSUBASA International-presentation Invited

    KOMATSU Kazuhiko

    Aurora Forum SC18 2018/11/12

  49. 新ベクトルプロセッサSX-Aurora TSUBASAの基本性能評価 Invited

    小松 一彦

    NEC C&Cユーザーフォーラム&iEXPO2018ワークショップ SP研究会 2018/11/08

  50. Performance evaluation and analysis of SX-Aurora TSUBASA International-presentation Invited

    KOMATSU Kazuhiko

    Workshop on Sustained Simulation Performance 28 2018/10/09

  51. メニーコアプロセッサのためのパラメータチューニング時間削減手法

    岸谷 拓海, 小松 一彦, 撫佐 昭裕, 佐藤 雅之, 小林 広明

    並列/分散/協調処理に関する『熊本』サマー・ワークショップ 2018/07

  52. マルチベクトルコアプロセッサの共有キャッシュ構成に関する一検討

    高屋敷 光, 佐藤 雅之, 小松 一彦, 江川 隆輔, 小林 広明

    並列/分散/協調処理に関する『熊本』サマー・ワークショップ 2018/07

  53. Directive Translation Approach in Keeping a Code Clean International-presentation Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    Advanced Topics and Auto Tuning in High Performance Scientific Computing 2017/03/10

  54. User-Defined Directive Translation Using the Xevovler Framework International-presentation Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    SIAM CSE 2017 2017/02/27

  55. A Directive Generation Using A Code Translation Framework International-presentation Invited

    24th Workshop on Sustained Simulation Performance (WSSP24) 2016/12/05

  56. ユーザ定義変換を用いた 複数種類の指示行の活用 Invited

    自動チューニング研究会マイクロワークショップ 2016 2016/10/30

  57. Migration of an HPC Code to an OpenACC Platform Using a Code Translation Framework International-presentation Invited

    Advanced Topics and Auto Tuning in High Performance Scientific Computing 2016/02/19

  58. Migration of a Large-scale Code to an OpenACC Platform Using a Code Transformation Framework International-presentation Invited

    22nd Workshop on Sustained Simulation Performance (WSSP22) 2015/12/17

  59. コード変換フレームワークを用いたレガシーコードの移植 Invited

    自動チューニング研究会マイクロワークショップ 2015 2015/10/18

  60. 高性能可搬性のためのHPCリファクタリング Invited

    2015/05/12

  61. Performance Portable Code Production using Automatic Parallelizing Information International-presentation Invited

    The 1st IT Joint Seminar with Moscow State University 2015/03/05

  62. High-productive OpenMP migration using Automatic Parallelizing Information International-presentation Invited

    20th Workshop on Sustained Simulation Performance (WSSP20) 2014/12/15

  63. Performance Comparison of Auto-parallelized Codes and OpenMP Codes on Various Supercomputing Systems International-presentation Invited

    19th Workshop on Sustained Simulation Performance (WSSP19) 2014/03/27

  64. OpenMP Parallelization using Compile Log of Automatic Parallelization

    Azmir Ridzuan bin Azlan, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    第12回情報シナジー研究会 2014/02/24

  65. 東北大学サイバーサイエンスセンターにおける分子動力学シミュレーションコードの高速化支援について

    森谷 友映, 佐々木 大輔, 山下 毅, 小野 敏, 大泉 健治, 小松一彦, 江川隆輔, 小林広明

    2013年度大学ICT推進協議会年次大会 2013/12/18

  66. Performance evaluation of auto-parallelized codes on various supercomputing systems International-presentation Invited

    18th Workshop on Sustained Simulation Performance(WSSP18) 2013/10/28

  67. OpenACCにおける性能チューニングとその効果 Invited

    滝沢寛之, 平澤将一, 小松一彦, 小林広明

    日本応用数理学会2013年度年会 2013/09/10

  68. マルチプラットフォームにおける最適化手法の効果に関する一検討

    小松一彦, 佐々木俊英, 江川隆輔, 滝沢寛之, 小林広明

    並列/分散/協調処理に関するサマーワークショップ(SWoPP2013) 2013/07

  69. メモリバンド幅および通信バンド幅に着目した大規模並列システムの性能モデルに関する一検討

    安田一平, 小松一彦, 江川隆輔, 滝沢寛之, 小林広明

    第11回情報シナジー研究会 2013/02

  70. 複合型計算システム向けのOpenACCの拡張

    菅原 誠, 平澤 将一, 小松 一彦, 滝沢 寛之, 小林 広明

    第11回情報シナジー研究会 2013/02

  71. High-productive OpenMP migration using compile information International-presentation

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    International Symposium on Post Petascale System Software 2012/12/02

  72. Toward High Performance-Portabilities on Modern HPC Systems International-presentation Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    16th Workshop on Sustained Simulation Performance(WSSP16) 2012/12

  73. ナノ粒子群形成アプリケーションのOpenACCによる実装と性能評価

    菅原誠, 平澤将一, 小松一彦, 滝沢寛之, 小林広明

    第26回数値流体力学シンポジウムCFD2012 2012/12

  74. 大規模計算システムにおけるBuilding Cube Methodの性能評価

    小松一彦, 曽我隆, 江川隆輔, 滝沢寛之, 小林広明

    第26回数値流体力学シンポジウムCFD2012 2012/12

  75. 大規模並列システムのノード間通信を考慮した性能モデルに関する一検討

    安田 一平, 小松 一彦, 江川 隆輔, 小林 広明

    第194回ARC・第137回HPC合同研究発表会(HOKKE-20) 2012/12

  76. Performance of Practical Applications on Modern Supercomputing Systems International-presentation Invited

    Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    SC12 NEC booth presentation 2012/11

  77. マルチプラットフォーム環境における性能可搬性の調査 Invited

    自動チューニング研究会マイクロワークショップ 2012 2012/10/27

  78. ナノ粒子群形成アプリケーションのOpenACCによる実装と性能評価

    菅原誠, 平澤将一, 小松一彦, 滝沢寛之, 小林広明

    第136回HPC研究会 2012/10

  79. HPCアプリケーションの性能可搬性に関する一検討

    小松 一彦, 江川 隆輔, 安田 一平, 撫佐 昭裕, 松岡 浩司, 小林 広明

    第136回HPC研究会 2012/10

  80. HPCシステムにおける最適化手法の性能可搬性に関する一検討

    小松 一彦, 江川 隆輔, 安田 一平, 撫佐 昭裕, 松岡 浩司, 小林 広明

    HPCシステムにおける最適化手法の性能可搬性に関する一検討 2012/09

  81. Introduction to GPU Computing International-presentation Invited

    SICE2012 Tutorial 2012/08/20

  82. Performance Evaluation of a CFD using Cartesian Meshes on Various Supercomputing Systems International-presentation Invited

    Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    NUG XXIV 2012/06

  83. OpenCLアプリケーションの実行時自動チューニング

    滝沢寛之, 佐藤功人, 小松一彦, 小林広明

    計算工学講演会 2012/05/30

  84. Performance evaluation of a next-generation CFD on various supercomputing systems International-presentation Invited

    Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    14th Teraflop Workshop 2011/12/05

  85. プログラム自動生成技術に基づくGPUコンピューティングの性能評価

    菅原誠, 佐藤功人, 小松一彦, 滝沢寛之, 小林広明

    2011年並列/分散/協調処理に関する『鹿児島』サマー・ワークショップ 2011/07/27

  86. 複合型計算機におけるソフトウェア開発の課題と支援手法の検討

    佐藤功人, 小松 一彦, 滝沢 寛之, 小林 広明

    日本学術振興会インターネット技術第163委員会情報流通基盤分科会(ITRC/INI)「情報流通基盤分科会ワークショップ」・「先端的ネットワーク&コンピューティングテクノロジワークショップ」合同ワークショップ 2011/03

  87. GPUクラスタによるBuilding Cube Methodの性能評価

    小松 一彦, 滝沢 寛之, 小林 広明

    第4回次世代CFD研究会 2011/02

  88. 複合型計算システムのためのジョブスケジューリングの検討

    小山 賢太郎, 佐藤 功人, 小松 一彦, 村田 善智, 滝沢 寛之, 小林 広明

    第9回情報シナジー研究会 2011/02

  89. ハイブリッド型計算環境のためのプログラミングフレームワークSPRAT(A High-level Programming Framework for Efficient Hybrid-architecture Computing)

    小松 一彦, 小山 賢太郎, 佐藤 功人, 滝沢 寛之, 小林 広明

    日本学術振興会インターネット技術第163委員会情報流通基盤分科会(ITRC/INI)「情報流通基盤分科会ワークショップ」・「先端的ネットワーク&コンピューティングテクノロジワークショップ」合同ワークショップ 2010/03

  90. A High-level Programming Framework for Efficient Hybrid-architecture Computing International-presentation Invited

    Kazuhiko Komatsu, Kentaro Koyama, Katsuto Sato, Hiroyuki Takizawa, Hiroaki Kobayashi

    14th SIAM Conference on Parallel Processing for Scientific Computing 2010/02

  91. CUDAアプリケーション向けチェックポイント・リスタート機能の実装と評価(Implementation and Evaluation of a Checkpoint/Restart Tool for CUDA Applications)

    滝沢 寛之, 佐藤 功人, 小松 一彦, 小林 広明

    IPSJ SIG Technical Report 2009/10

  92. プロセッサ自動選択機能を有するBLAS の実現に向けた性能評価(Performance Evaluation towards BLAS with Automatic Processor Selection)

    小松 一彦, 小山 賢太郎, 佐藤 功人, 滝沢 寛之, 小林 広明

    第8回情報科学技術フォーラム 2009/09

  93. An Auction-based Resource Allocation Considering Multifaceted Utilities in a Peer-to-Peer Environment

    Chainan Satayapiwat, Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa, Hiroaki Kobayashi

    第8回情報科学技術フォーラム 2009/09

  94. GPU向け線形代数ライブラリの性能評価(Early evaluation of linear algebra libraries for GPU computing)

    小山 賢太郎, 佐藤 功人, 小松 一彦, 滝沢 寛之, 小林 広明

    計算工学講演会論文集 2009/05

  95. A Large-scale Distributed Data-Mining System using Idle Time of Game Consoles

    Yoshitomo Murata, Kazuhiko Komatsu, Yuki Ishimori, Hiroyuki Takizawa, Hiroaki Kobayashi

    日本学術振興会インターネット技術第163委員会情報流通基盤分科会(ITRC/INI)「情報流通基盤分科会ワークショップ」・「先端的ネットワーク&コンピューティングテクノロジワークショップ」合同ワークショップ 2009/02

  96. 汎用グラフィックスアクセラレータ(GPU)を用いたボリュームレンダリング将来展望

    小松 一彦, 佐野 健太郎, 鈴木 健一, 中村 維男

    脳神経情報処理研究会 2004/09

  97. ボリュームデータセグメンテーションの高速処理方式

    小松 一彦, 佐野 健太郎, 鈴木 健一, 中村 維男

    情報処理学会東北支部研究会 2003/11

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Industrial Property Rights 18

  1. PHYSICAL PROPERTY MAP IMAGE GENERATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  2. SINGULAR MATERIAL DETECTION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  3. MAP IMAGE GENERATION APPARATUS, CONTROL METHOD, AND NON -TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  4. PHYSICAL PROPERTY MAP IMAGE GENERATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  5. PHYSICAL PROPERTY MAP IMAGE GENERATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  6. SINGULAR MATERIAL DETECTION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  7. SINGULAR MATERIAL DETECTION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  8. MAP IMAGE GENERATION APPARATUS, CONTROL METHOD, AND NON -TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  9. RECOMMENDATION DATA GENERATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  10. RECOMMENDATION DATA GENERATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  11. RECOMMENDATION DATA GENERATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  12. MAP IMAGE GENERATION APPARATUS, CONTROL METHOD, AND NON -TRANSITORY COMPUTER READABLE MEDIUM

    Naoki Kuwamori, Akihiro Musa, Yohei Takigawa, Yuta Kazama, Yoshihiko Satou, Hiroaki Kobayashi, Tota Kikugawa, Tomonaga Okabe, Kazuhiko Komatsu

    Property Type: Patent

  13. 推奨データ生成装置、推奨データ生成方法、及び非一時的なコンピュータ可読媒体

    小林 広明, 菊川 豪太, 岡部朋永, 小松 一彦, 川越吉晃, 鍬守 直樹, 撫佐 昭裕, 佐藤 佳彦

    Property Type: Patent

  14. マップ生成装置、マップ生成方法、及び非一時的なコンピュータ可読媒体

    小林 広明, 菊川 豪太, 岡部朋永, 小松 一彦, 川越吉晃, 鍬守 直樹, 撫佐 昭裕, 佐藤 佳彦

    Property Type: Patent

  15. 推奨データ生成装置、制御方法、及びプログラム

    鍬守 直樹, 撫佐 昭裕, 瀧川 陽平, 風間 悠加, 佐藤 佳彦, 小林 広明, 菊川 豪太, 岡部朋永, 小松 一彦

    Property Type: Patent

  16. マップ画像生成装置、制御方法、及びプログラム

    鍬守 直樹, 撫佐 昭裕, 瀧川 陽平, 風間 悠加, 佐藤 佳彦, 小林 広明, 菊川 豪太, 岡部朋永, 小松 一彦

    Property Type: Patent

  17. 特異材料検出装置、制御方法、及びプログラム

    鍬守 直樹, 撫佐 昭裕, 瀧川 陽平, 風間 悠加, 佐藤 佳彦, 小林 広明, 菊川 豪太, 岡部朋永, 小松 一彦

    Property Type: Patent

  18. 物性マップ画像生成装置、制御方法、及びプログラム

    鍬守 直樹, 撫佐 昭裕, 瀧川 陽平, 風間 悠加, 佐藤 佳彦, 小林 広明, 菊川 豪太, 岡部朋永, 小松 一彦

    Property Type: Patent

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Research Projects 17

  1. 量子・古典ハイブリッド計算によるソフトマテリアル研究開発デジタルツインの創成

    小林 広明, 撫佐 昭裕, 阿部 圭晃, 佐藤 雅之, 小松 一彦, 菊川 豪太

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(B)

    Institution: 東北大学

    2024/04/01 - 2028/03/31

  2. 運用システム(計算機)整備計画調査研究

    佐藤 賢斗, 小松一彦

    Offer Organization: 文部科学省

    System: HPCI整備計画調査研究事業

    2025/11 - 2028/03

  3. 意味論的注意による放射光CT解析原理の革新

    高山 裕貴, 小松一彦, 小松瑞果

    System: CREST革新的計測解析領域 異分野融合研究

    Institution: 東北大学

    2025/10 - 2028/03

  4. 量子等ハイブリッド(連携)運用環境調査研究

    小松一彦, 佐藤 雅之, 深見 俊輔, 熊谷 政仁, 越村 俊一, 金井 駿, 高山 裕貴, 伊達 進, 山下 晃弘, 曽我 隆, 速水 智教, 片桐 孝洋, 星野 哲也, 椋木 大地, 百瀬 真太郎, 中曽根 才将, 伴内 光太郎, 高野 了成, 滝澤 真一朗, 柿崎 武, 谷本 輝夫, 南里 豪志, 小野 貴継, 川上 哲志, Byun Ilkwon, 永山 翔太, Amin Taherkhani, 佐野 拓馬, 佐藤 貴彦, 鈴木 泰成

    Offer Organization: 文部科学省

    System: HPCI整備計画調査研究事業

    2025/10 - 2028/03

  5. 津波災害デジタルツインの構築とスマート・レジリエンスの実現

    越村 俊一, 小林 広明, 小松 一彦, 佐藤 雅之, 百瀬 真太郎, 伴内 光太郎

    Offer Organization: 内閣府

    System: 戦略的イノベーション創造プログラム(SIP)

    Category: 量子および疑似量子アニーリングによる災害対応最適化問題の解

    Institution: スマート防災ネットワークの構築

    2023/04 - 2028/03

  6. 大規模量子コンピューティングによる新計算原理計算基盤の創生

    小松 一彦, 小林 広明, 佐藤 雅之, 百瀬 真太郎

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 基盤研究(B)

    Category: 基盤研究(B)

    Institution: 東北大学

    2023/04 - 2028/03

  7. 超原子座標構造の可視化による創薬の革新

    米倉 功治, 小林広明, 小松, 一彦, 佐藤 雅之

    Offer Organization: 科学技術振興機構

    System: 戦略的な研究開発の推進 未来社会創造事業 探索加速型

    Category: 計算科学応用グループ

    Institution: 国立研究開発法人理化学研究所

    2023/04 - 2027/03

    More details Close

    クライオ電子顕微鏡の先端技術開発を中心に据え、X線自由電子レーザー(XFEL)も用いることで、多様かつ微量な有機化合物、タンパク質などの試料から、高い時空間分解能とスピード解析を両立の上、これまでの計測限界を突破することを目指す。これにより、電荷分布、電子構造、化学結合の極性、官能基のプロトン化、電子の動き等“見えなかった”物性・現象、いわゆる“超原子座標構造”を解明する。まず、新規感染症や難病の治療に役立つ創薬への応用を進め、さらに、この技術の高い汎用性を活かし、新材料開発、エネルギー、環境、生命科学などより広い分野への応用も促進する。また、研究を通して次世代クライオ電顕を開発、世界シェアの拡大と解析拠点の構築にも繋げたい。以上のように、本可視化技術は共通基盤技術として、多くの研究開発現場における生産性向上に貢献することが期待される。

  8. 量子・AI ハイブリッド技術の活用を加速する共通ライブラリ基盤の研究開発

    小松 一彦, 小林 広明, 撫佐 昭裕, 百瀬 真太郎, 佐藤 雅之, 熊谷 政仁, 小野田 誠

    Offer Organization: 国立研究開発法人新エネルギー・産業技術総合開発機構 (NEDO)

    System: 量子・AIハイブリッド技術のサイバー・フィジカル開発事業

    Institution: 東北大学

    2023/06 - 2026/03

  9. アニーリングマシンを用いた機械学習アルゴリズムによる大規模データ分析

    小松 一彦

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 国際共同研究加速基金(国際共同研究強化(A))

    Category: 国際共同研究加速基金(国際共同研究強化(A))

    Institution: 東北大学

    2022/03 - 2025/03

  10. 新計算原理調査研究

    小松一彦, 横川 三津夫, 佐藤 雅之

    Offer Organization: 文部科学省

    System: 次世代計算基盤に係る調査研究

    2022/08 - 2024/03

  11. A programming framework that seamlessly integrates quantum annealing machines with high-performance computing systems

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

    Category: Grant-in-Aid for Scientific Research (C)

    Institution: Tohoku University

    2020/04 - 2024/03

  12. Quantum-Annealing Assisted Innovative Material Informatics Infrastructure

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)

    Category: Grant-in-Aid for Scientific Research (A)

    Institution: Tohoku University

    2019/04/01 - 2023/03/31

  13. 量子コンピューティングを用いたシェアエコノミーのための資源配分の事業化検証

    Offer Organization: 東北大学スタートアップ事業化センター

    System: BIP(育成)

    2022/06 - 2023/03

  14. Research and Development of An Architecture-independent Framework for Efficient Graph Algorithm Implementations

    Kazuhiko Komatsu, Voevodin Vadim, Hiroaki Kobayashi, Akihiro Musa, Masayuki Sato, Afanasyev Ilya

    Offer Organization: Japan Society for the Promotion of Science

    System: Research Cooperative Program

    Institution: Tohoku University

    2021/04 - 2023/03

  15. 統合型材料開発システムによるマテリアル革命

    小林 広明, 小松 一彦, 佐藤 雅之

    Offer Organization: 内閣府

    System: 戦略的イノベーションプログラム(SIP)

    2020/05 - 2023/03

  16. 量子アニーリングアシスト型次世代スーパーコンピューティング基盤の開発

    小林 広明, 小松, 一彦, 滝沢, 寛之, 山口, 健太, 撫佐, 昭裕, 曽我 隆, 渡部 修, 横川, 三津夫, 江川 隆輔, 下村, 陽一, 中田, 一人, 越村 俊一, 佐藤, 雅之, 愛野, 茂幸, 磯部 洋子, 政岡, 靖久, 百瀬, 真太郎, 藤本, 壮也, 山本 悟, 古澤 卓, 荒木 拓也, 村嶋, 陽一, 大関, 真之, 觀山, 正道, 太田 雄策, マス エリック, 星, 宗王, 萩原 孝

    Offer Organization: 文部科学省

    System: 次世代領域研究開発

    2018/04 - 2023/03

  17. エクサスケール時代のアプリケーション開発支援とベクトルアーキテクチャ設計の新展開

    小林 広明, 小松 一彦, 滝沢 寛之, 江川 隆輔, 佐藤 雅之, 撫佐 昭裕, Vladmir Voevodin, Vadim Voevodin, Ilya Afanasyev

    Offer Organization: 学術振興会

    System: 二国間交流事業 共同研究

    2018/04 - 2020/03

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Social Activities 30

  1. 2024年度サイバーサイエンスセンター講習会 はじめての並列化

    2024/07/10 -

  2. 令和5年度サイバーサイエンスセンター講習会 並列プログラミング入門Ⅰ(OpenMP)

    2023/10/03 -

  3. 令和5年度サイバーサイエンスセンター講習会 はじめての並列化

    2023/05/31 -

  4. 令和4年度サイバーサイエンスセンター講習会 並列プログラミング入門Ⅰ(OpenMP)

    2022/10/27 -

  5. 令和4年度サイバーサイエンスセンター講習会 はじめての並列化

    2022/06/06 -

  6. 令和3年度サイバーサイエンスセンター講習会 並列プログラミング入門 Ⅰ(OpenMP)

    2021/10/06 -

  7. 令和3年度サイバーサイエンスセンター講習会 はじめての並列化

    2021/06/02 -

  8. 令和2年度サイバーサイエンスセンター講習会 並列プログラミング入門 ⅠI(MPI)

    2020/12/11 -

  9. 令和2年度サイバーサイエンスセンター講習会 並列プログラミング入門 Ⅰ(OpenMP)

    2020/12/09 -

  10. 令和元年度サイバーサイエンスセンター講習会 並列プログラミング入門 ⅠI(MPI)

    2019/09/13 -

  11. 令和元年度サイバーサイエンスセンター講習会 並列プログラミング入門 Ⅰ(OpenMP)

    2019/09/12 -

  12. 令和元年度サイバーサイエンスセンター講習会 はじめての並列化

    2019/05/30 -

  13. 平成30年度サイバーサイエンスセンター講習会 並列プログラミング入門 ⅠI(MPI)

    2018/08/10 -

  14. 平成30年度サイバーサイエンスセンター講習会 並列プログラミング入門Ⅰ(OpenMP)

    2018/08/09 -

  15. 平成29年度サイバーサイエンスセンター講習会 MPIプログラミング入門

    2017/08/10 -

  16. 平成29年度サイバーサイエンスセンター講習会 OpenMPプログラミング入門

    2017/08/10 -

  17. 大規模科学計算システム 講習会 MPIプログラミング入門

    2016/09/29 -

  18. 大規模科学計算システム 講習会 並列プログラミングの概要とOpenMPプログラミング入門

    2016/09/28 -

  19. 大規模科学計算システム 講習会 MPIプログラミング入門

    2016/06/01 -

  20. 大規模科学計算システム 講習会 並列プログラミングの概要とOpenMPプログラミング入門

    2016/05/26 -

  21. 大規模科学計算システム 講習会 MPIプログラミング入門

    2015/10/28 -

  22. 大規模科学計算システム 講習会 並列プログラミングの概要とOpenMPプログラミング入門

    2015/10/27 -

  23. 東北大学サイエンスカフェ 第116回 「スーパーコンピュータの驚異的な力」

    2015/05/29 -

    More details Close

    司会・開催補助

  24. 大規模科学計算システム 講習会 MPIプログラミング入門

    2015/04/24 -

  25. 大規模科学計算システム 講習会 並列プログラミングの概要とOpenMPプログラミング入門

    2015/04/22 -

  26. 大規模科学計算システム 講習会 新スーパーコンピュータにおける高速化技法の基礎

    2015/03/24 -

  27. 大規模科学計算システム 講習会 MPIプログラミング入門

    2014/05/30 -

  28. 大規模科学計算システム 講習会 並列プログラミングの概要とOpenMPプログラミング入門

    2014/05/29 -

  29. 大規模科学計算システム 講習会 MPIプログラミング入門

    2013/09/12 -

  30. 大規模科学計算システム 講習会 UNIX入門

    2013/05/28 -

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Media Coverage 7

  1. ReGACY Innovation Groupと仙台市が共同で実施する「仙台スタートアップスタジオ ハンズオン支援プログラム」のデモデイを開催

    PRTIMES https://prtimes.jp/main/html/rd/p/000000076.000099287.html

    2024/03/26

    Type: Internet

  2. ReGACY Innovation Groupと仙台市が共同で実施する「仙台スタートアップスタジオ ハンズオン支援プログラム」のデモデイを開催決定

    PRTIMES プレスリリース

    2024/02/27

    Type: Internet

  3. 量子技術のビジネス活用に向け、産学連携の実証実験を実施 ~カーシェアリング事業の実データを活用し、約26パーセントの効率改善を導出~

    住友商事 プレスリリース

    2023/11/21

    Type: Internet

  4. 量子技術のビジネス活用に向け、産学連携の実証実験を実施 ~カーシェアリング事業の実データを活用し、約26パーセントの効率改善を導出~

    東北大学 プレスリリース・研究成果

    2023/11/21

    Type: Internet

  5. 住友商事、量子計算でカーシェア運営を効率化 東北大と

    日本経済新聞 量子技術

    2023/10/30

    Type: Newspaper, magazine

  6. ReGACY Innovation Groupと仙台市が共同で実施する「仙台スタートアップスタジオ ハンズオン支援プログラム」の2023年度採択となる6事業を決定

    PRTIMES プレスリリース

    2023/10/02

    Type: Internet

  7. 【採択事業紹介】量子アニーリングの技術を活用し、生産計画・製造方法の最適化 〜東北大学 サイバーサイエンスセンター 准教授 小松一彦氏〜

    note 仙台スタートアップスタジオ

    2023/08/08

    Type: Internet

Show all Show first 5