Organization
Information Technology Center Assistant Professor
Graduate School
Graduate School of Informatics
Title
Assistant Professor
Contact information
External link
MUKUNOKI Daichi
Degree 3
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博士（工学） （ 2013.11 筑波大学 ）
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修士（工学） （ 2011.3 筑波大学 ）
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学士（図書館情報学） （ 2009.3 筑波大学 ）
Research Interests 9
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High performance computing
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Accurate computation
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Auto-tuning
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Numerical computation
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Reproducible computation
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Parallel Computing
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GPU computing
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Mixed precision computation
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Large Language Models
Research Areas 2
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Informatics / High-performance computing
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Informatics / Computer systems
Research History 19
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Nagoya University Information Technology Center Assistant Professor
2025.4
Country：Japan
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Nagoya University Information Technology Center Assistant Professor
2024.12 - 2025.3
Country：Japan
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Shibaura Institute of Technology Temporary Technical Staff
2024.4 - 2024.10
Country：Japan
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Sony Interactive Entertainment Inc. Sr. Software Engineer
2023.11 - 2024.2
Country：Japan
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Information Technology Center, The University of Tokyo Visiting Researcher
2021.11 - 2023.3
Country：Japan
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RIKEN Center for Computational Science Large-scale Parallel Numerical Computing Technology Research Team Research Scientist
2019.4 - 2023.10
Country：Japan
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RIKEN Center for Computational Science Research Scientist
2019.4 - 2021.3
Country：Japan
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RIKEN Center for Computational Science Large Scale Parallel Computation Technology Research Team Visiting Researcher
2018.4 - 2019.3
Country：Japan
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RIKEN Center for Computational Science Visiting Researcher
2018.4 - 2019.3
Country：Japan
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Tokyo Woman's Christian University Graduate School of Science Postdoctoral Research Fellow
2017.10 - 2019.3
Country：Japan
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RIKEN Center for Computational Science Architecture Development Team, Flagship 2020 Project Visiting Researcher
2017.10 - 2018.3
Country：Japan
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RIKEN Advanced Institute of Computational Science Large-scale Parallel Numerical Computing Technology Research Team, Research Division Visiting Researcher
2017.10 - 2018.3
Country：Japan
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RIKEN Advanced Institute of Computational Science Architecture Development Team, Flagship 2020 Project Postdoctoral Researcher
2017.4 - 2017.9
Country：Japan
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RIKEN Advanced Institute for Computational Science Postdoctoral Researcher
2016.4 - 2017.3
Country：Japan
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RIKEN Advanced Institute of Computational Science Co-design Team, Flagship 2020 Project Postdoctoral Researcher
2015.5 - 2016.3
Country：Japan
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RIKEN Advanced Institute for Computational Science Large-scale Parallel Numerical Computing Technology Research Team, Research Division Postdoctoral Researcher
2014.6 - 2017.9
Country：Japan
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Japan Society for the Promotion of Science Research Fellow (PD)
2013.12 - 2014.5
Country：Japan
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Japan Society for the Promotion of Science Research Fellow (DC2)
2013.4 - 2013.11
Country：Japan
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Nagoya University Information Technology Center Assistant Professor
2025.11
Education 4
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University of Tsukuba Graduate School of Systems and Information Engineering Doctoral Program in Computer Science
2011.4 - 2013.11
Country： Japan
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University of Tsukuba Graduate School of Systems and Information Engineering Master's Program in Computer Science
2009.4 - 2011.3
Country： Japan
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University of Tsukuba School of Library and Information Science
2006.4 - 2009.3
Country： Japan
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Gifu National College of Technology
2001.4 - 2006.3
Country： Japan
Professional Memberships 4
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日本医用画像工学会
2025.8
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Association for Computing Machinery (ACM)
2025
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Information Processing Society of Japan
2008
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Auto-Tuning Resarch Group
Committee Memberships 39
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The 15th International Conference on Parallel Processing & Applied Mathematics (PPAM 2024) Program Committee Member
2024
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Mini Symposium: Exploring Arithmetic and Data Representation Beyond the Standard in HPC (at ICIAM 2023) Mini-Symposium Organizer
2023
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Special Session: Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems (POAT 2023) (in conjunction with MCSoC-2023) Program Chair
2023
Committee type：Academic society
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The 24th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2023) (in conjunction with IPDPS 2023) Program Committee Member
2023
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2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023) Program Committee Member
2023
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The 22nd International Conference on Computational Science (ICCS 2022) Program Committee Member
2022
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The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2022) Publicity Chair
2022
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36th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2022) Program Committee Member (Algorithm track)
2022
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自動チューニング研究会 幹事（交流促進委員会）
2021 - 2023
Committee type：Academic society
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情報処理学会論文誌コンピューティングシステム 編集委員
2020 - 2024
Committee type：Academic society
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The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC20) Research Poster Committee Member
2020
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The 4th International Workshop on GPU Computing and AI (GCA'19) (in conjunction with CANDAR'19) Program Committee Member
2019
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The Fourteenth International Workshop on Automatic Performance Tuning (iWAPT2019) (in conjunction with IPDPS 2019) Program Committee Member
2019
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The 16th International Conference on Parallel Processing & Applied Mathematics (PPAM 2026) Program Committee Member
2026.9
Committee type：Academic society
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The 2nd International Workshop on Foundational Large Language Models Advances for HPC (LLM4HPC 2026) Program Committee Member
2026.6
Committee type：Academic society
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The International Conference on High Performance Computing in Asia-Pacific Region 2026 (HPCAsia2026) Poster Chair
2026.1
Committee type：Academic society
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The 28th Workshop on Advances in Parallel and Distributed Computational Models (APDCM2026) Program Committee Member
2026
Committee type：Academic society
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自動チューニング研究会 研究推進委員
2025
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Special Session: Auto-Tuning for Multicore and GPU (ATMG2022) (in conjunction with MCSoC-2022) Program Chair
2022
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The 14th International Conference on Parallel Processing & Applied Mathematics (PPAM 2022) Program Committee Member
2022
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IEEE 22nd International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2021) (in conjunction with IPDPS 2021) Program Committee Member
2021
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Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020 January) Program Committee Member
2020
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The 21st IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2020) (in conjunction with IPDPS 2020) Program Committee Member
2020
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2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2019) Program Committee Member
2019
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The 20th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2019) (in conjunction with IPDPS 2019) Program Committee Member
2019
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Mini Symposium: Development of Numerical Computing Software on Emerging Computing Platforms (at SIAM PP 18) Mini-Symposium Organizer
2018
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2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018) Program Committee Member
2018
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The 19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2018) (in conjunction with IPDPS 2018) Program Committee Member
2018
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The Third International Workshop on GPU Computing and AI (GCA'18) (in conjunction with CANDAR'18) Program Committee Member
2018
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The Thirteenth International Workshop on Automatic Performance Tuning (iWAPT2018) (in conjunction with IPDPS 2018) Program Committee Member
2018
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Special Session: Auto-Tuning for Multicore and GPU (ATMG 2018) (in conjunction with MCSoC-2018) Program Committee Member
2018
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The Second International Workshop on GPU Computing and AI (GCA'17) (in conjunction with CANDAR'17) Program Committee Member
2017
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Special Session: Auto-Tuning for Multicore and GPU (ATMG 2017) (in conjunction with MCSoC-17) Program Committee Member
2017
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The 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2017) (in conjunction with IPDPS 2017) Program Committee Member
2017
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The Twelfth International Workshop on Automatic Performance Tuning (iWAPT2017) (in conjunction with IPDPS 2017) Program Committee Member
2017
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The First International Workshop on GPU Computing and Applications (GCA'16) (in conjunction with CANDAR'16) Program Committee Member
2016
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The 17th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2016) (in conjunction with IPDPS 2016) Program Committee Member
2016
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The 16th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2015) (in conjunction with IPDPS 2015) Program Committee Member
2015
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The 15th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2014) (in conjunction with IPDPS 2014) Program Committee Member
2014
Awards 10
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Best Paper Award
2026.1 The 1st International Workshop on Foundational Large Language Models Advances for HPC in Asia (LLM4HPCAsia 2026) Evaluating Claude Code's Coding and Test Automation for GPU Acceleration of a Legacy Fortran Application: A GeoFEM Case Study
Tetsuya Hoshino, Shun-Ichiro Hayashi, Daichi Mukunoki, Takahiro Katagiri, Toshihiro Hanawa
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Best Paper Award
2023.12 6th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2023) Sparse Matrix-Vector Multiplication with Reduced-Precision Memory Accessor
Daichi Mukunoki, Masatoshi Kawai, Toshiyuki Imamura
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Research Poster Award 2nd Place Winner
2022.6 ISC High Performance 2022 A Fast Infinite Precision Inner Product using Ozaki Scheme and Dot2, and Its Application to Reproducible Conjugate Gradient Solvers
Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura
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RIKEN Ohbu Award 2021
2022.3
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Research Poster Award
2021.6 ISC High Performance 2021 Accurate Matrix Multiplication on Binary128 using Ozaki Scheme
Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura
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Best Research Poster Award
2019.9 Russian Supercomputing Days Accurate and Reproducible Linear Algebra Operations for Many-core Architectures
Daichi Mukunoki, Takeshi Ogita, Katsuhisa Ozaki
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PRACE-ISC Research Poster Award 2017
2017.6 ISC High Performance 2017 Implementation & Evaluation of 2.5D Matrix Multiplication on K Computer
Daichi Mukunoki, Toshiyuki Imamura
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IPSJ Yamashita SIG Research Award
2016 Information Processing Society of Japan
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IPSJ Computer Science Research Award for Young Scientists
2013 Information Processing Society of Japan
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Young Researcher Award
2013 IPSJ Special Interest Group on System Architecture
Papers 82
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Performance Evaluation of Loop Body Splitting for Fast Modal Filtering in SCALE-DG on A64FX Reviewed Open Access
Xuanzhengbo Ren, Yuta Kawai, Hirofumi Tomita, Seiya Nishizawa, Takahiro Katagiri, Tetsuya Hoshino, Daichi Mukunoki, Masatoshi Kawai, Toru Nagai
Proceedings of the 2025 International Conference on High Performance Computing in Asia-Pacific Region Workshops page： 36 - 44 2025.2
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Performance evaluation and modelling of single-precision matrix multiplication on Cerebras CS-2 Reviewed
Ryunosuke Matsuzaki, Daichi Mukunoki, Takaaki Miyajima
SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis page： 727 - 731 2024.11
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Tetsuya Hoshino, Shun-ichiro Hayashi, Daichi Mukunoki, Takahiro Katagiri, Toshihiro Hanawa
Proc. the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops (SCA/HPCAsiaWS '26) - The 1st International Workshop on Foundational Large Language Models Advances for HPC in Asia (LLM4HPCAsia 2026) page： 353 - 360 2026.1
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Sparse Iterative Solvers Using High-Precision Arithmetic with Quasi Multi-Word Algorithms. Reviewed
Daichi Mukunoki, Katsuhisa Ozaki
Proc. 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2025) page： 33 - 40 2025.12
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DGEMM without FP64 Arithmetic - Using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme Reviewed
Daichi Mukunoki
Proc. the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops (SCA/HPCAsiaWS '26) - ExHET'26: The Fifth International Workshop on Extreme Heterogeneity Solutions Vol. abs/2508.00441 page： 303 - 311 2025.8
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An Algorithm Portfolio Approach for Parameter Tuning in Coherent Ising Machines. Reviewed
Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino
Proc. 2025 Thirteenth International Symposium on Computing and Networking Workshops (CANDARW) - 17th International Workshop on Parallel and Distributed Algorithms and Applications (PDAA 2025) page： 142 - 148 2025
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Katsuhisa Ozaki, Daichi Mukunoki, Takeshi Ogita
Japan Journal of Industrial and Applied Mathematics Vol. 42 ( 1 ) page： 1 - 20 2024.10
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Reduced-Precision and Reduced-Exponent Formats for Accelerating Adaptive Precision Sparse Matrix–Vector Product Reviewed Open Access
Stef Graillat, Fabienne Jézéquel, Theo Mary, Roméo Molina, Daichi Mukunoki
Lecture Notes in Computer Science Vol. 14803 page： 17 - 30 2024.8
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Mixed-precision conjugate gradient algorithm using the groupwise update strategy Reviewed
Kensuke Aihara, Katsuhisa Ozaki, Daichi Mukunoki
Japan Journal of Industrial and Applied Mathematics 2024.2
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Sparse Matrix-Vector Multiplication with Reduced-Precision Memory Accessor Reviewed
Daichi Mukunoki, Masatoshi Kawai, Toshiyuki Imamura
2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) page： 608 - 615 2023.12
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Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura
Parallel Processing and Applied Mathematics page： 40 - 54 2023.4
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Task Scheduling Strategies for Batched Basic Linear Algebra Subprograms on Many-core CPUs Reviewed
Daichi Mukunoki, Yusuke Hirota, Toshiyuki Imamura
Proc. 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) page： 234 - 241 2021.12
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A Rapid Euclidean Norm Calculation Algorithm that Reduces Overflow and Underflow. Reviewed
Takeyuki Harayama, Shuhei Kudo, Daichi Mukunoki, Toshiyuki Imamura, Daisuke Takahashi
Proc. The 2021 International Conference on Computational Science and Its Applications (ICCSA 2021), Lecture Notes in Computer Science Vol. 12949 page： 95 - 110 2021.9
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Accurate Matrix Multiplication on Binary128 Format Accelerated by Ozaki Scheme Reviewed Open Access
Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura
Proc. The 50th International Conference on Parallel Processing (ICPP-2021) ( 78 ) page： 1 - 11 2021.8
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Conjugate Gradient Solvers with High Accuracy and Bit-wise Reproducibility between CPU and GPU using Ozaki scheme. Reviewed Open Access
Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Roman Iakymchuk
Proc. The International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia 2021) page： 100 - 109 2021.1
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Can We Avoid Rounding-Error Estimation in HPC Codes and Still Get Trustworthy Results? Reviewed
Fabienne Jézéquel, Stef Graillat, Daichi Mukunoki, Toshiyuki Imamura, Roman Iakymchuk
Proc. 13th International Workshop on Numerical Software Verification 2020 (NSV 20), Lecture Notes in Computer Science Vol. 12549 page： 163 - 177 2020.12
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Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws? Reviewed
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
Proc. 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021) page： 1056 - 1065 2020.10
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Performance and energy consumption of accurate and mixed-precision linear algebra kernels on GPUs. Reviewed
Daichi Mukunoki, Takeshi Ogita
J. Comput. Appl. Math. Vol. 372 page： 112701 - 112701 2020.7
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DGEMM Using Tensor Cores, and Its Accurate and Reproducible Versions Reviewed Open Access
Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura
Proc. ISC High Performance 2020, Lecture Notes in Computer Science Vol. 12151 page： 230 - 248 2020.6
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Design of an FPGA-Based Matrix Multiplier with Task Parallelism. Reviewed Open Access
Yiyu Tan, Toshiyuki Imamura, Daichi Mukunoki
Proc. International Conference on Parallel Computing (ParCo2019), Parallel Computing: Technology Trends Vol. 36 page： 241 - 250 2019
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Reproducible BLAS Routines with Tunable Accuracy Using Ozaki Scheme for Many-Core Architectures. Reviewed
Daichi Mukunoki, Takeshi Ogita, Katsuhisa Ozaki
Proc. 13th International Conference on Parallel Processing and Applied Mathematics (PPAM2019), Lecture Notes in Computer Science Vol. 12043 page： 516 - 527 2019
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Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. Reviewed
Daichi Mukunoki, Toshiyuki Imamura
Proc. International Conference on Computational Science (ICCS 2018), Lecture Notes in Computer Science Vol. 10862 page： 853 - 858 2018.6
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Toshiyuki Imamura, Daichi Mukunoki, Yusuke Hirota, Susumu Yamada, Masahiko Machida
Proc. International Conference on Parallel Computing (ParCo2017), Advances in Parallel Computing page： 97 - 106 2017.9
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Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer. Reviewed
Daichi Mukunoki, Toshiyuki Imamura
Proc. 12th International Conference on Parallel Processing and Applied Mathematics (PPAM2017), Lecture Notes in Computer Science Vol. 10777 page： 348 - 358 2017
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Automatic Thread-Block Size Adjustment for Memory-Bound BLAS Kernels on GPUs. Reviewed
Daichi Mukunoki, Toshiyuki Imamura, Daisuke Takahashi
Proc. IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-16) page： 377 - 384 2016
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Daichi Mukunoki, Toshiyuki Imamura
Proc. IEEE International Conference on Cluster Computing (Cluster 2016) page： 144 - 145 2016
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Fast Implementation of General Matrix-Vector Multiplication (GEMV) on Kepler GPUs. Reviewed
Daichi Mukunoki, Toshiyuki Imamura, Daisuke Takahashi
Proc. 23rd Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2015) page： 642 - 650 2015
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Implementation and Evaluation of Triple and Quadruple Precision Floating-point Operations on GPUs Reviewed Open Access
Vol. 6 ( 1 ) page： 66 - 77 2013.1
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Daichi Mukunoki, Daisuke Takahashi
Proc. 13th International Conference on Computational Science and Its Applications (ICCSA 2013), Part V, Lecture Notes in Computer Science Vol. 7975 page： 211 - 223 2013
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Using Quadruple Precision Arithmetic to Accelerate Krylov Subspace Methods on GPUs. Reviewed
Daichi Mukunoki, Daisuke Takahashi
Proc. 10th International Conference on Parallel Processing and Applied Mathematics (PPAM 2013), Part I, Workshop on Numerical Algorithms on Hybrid Architectures, Lecture Notes in Computer Science Vol. 8384 page： 632 - 642 2013
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Implementation and Evaluation of Triple Precision BLAS Subroutines on GPUs. Reviewed
Daichi Mukunoki, Daisuke Takahashi
Proc. 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW 2012), The 13th Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-12) page： 1378 - 1386 2012
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Implementation and Evaluation of Quadruple and Octuple Precision BLAS on GPUs Reviewed Open Access
Vol. 2011 ( 2011 ) page： 148 - 156 2011.1
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Implementation and Evaluation of Quadruple Precision BLAS Functions on GPUs. Reviewed
Daichi Mukunoki, Daisuke Takahashi
Proc. 10th International Conference on Applied Parallel and Scientific Computing (PARA 2010), Part I, Lecture Notes in Computer Science Vol. 7133 page： 249 - 259 2010
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Single-precision Matrix Multiplication Performance on Cerebras CS-2: Evaluation and Modelling of Performance, Scalability and Energy Efficiency Reviewed Open Access
Takaaki Miyajima, Ryunosuke Matsuzaki, Daichi Mukunoki
Journal of Information Processing Vol. 34 page： 132 - 139 2026
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Sparse Iterative Solvers Using High-Precision Arithmetic with Quasi Multi-Word Algorithms
Daichi Mukunoki, Katsuhisa Ozaki
CoRR Vol. abs/2510.13536 2025.10
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3Dify: a Framework for Procedural 3D-CG Generation Assisted by LLMs Using MCP and RAG
Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino, Satoshi Ohshima, Takahiro Katagiri
CoRR Vol. abs/2510.04536 2025.10
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VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs
Shun-ichiro Hayashi, Koki Morita, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri
CoRR Vol. abs/2510.00031 2025.9
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Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach
Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino
CoRR Vol. abs/2507.20295 2025.7
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Daichi Mukunoki, Shun-ichiro Hayashi, Tetsuya Hoshino, Takahiro Katagiri
CoRR Vol. abs/2507.04697 2025.7
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Application of AT to Parameter Tuning in Coherent Ising Machines
羽生達郎, 片桐孝洋, 森下誠, 高橋一郎, 河合直聡, 椋木大地, 星野哲也, 永井亨
計算工学講演会論文集(CD-ROM) Vol. 30 page： 957 - 960 2025.6
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BLASコードを題材としたGPTモデルによる数値計算コード実装支援に関する考察
椋木大地, 林俊一郎, 星野哲也, 片桐孝洋
情報処理学会研究報告(Web) Vol. 2025 ( HPC-200 ) 2025
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GeoFEMを対象としたClaude CodeによるGPUコード開発の評価
星野哲也, 林俊一郎, 椋木大地, 片桐孝洋, 塙敏博
情報処理学会研究報告(Web) Vol. 2025 ( HPC-201 ) 2025
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疎行列反復解法の深層学習を用いた実行時間予測モデル構築と評価
中谷崇真, 河合直聡, 河合直聡, 片桐孝洋, 星野哲也, 永井亨, 椋木大地
情報処理学会研究報告(Web) Vol. 2025 ( HPC-199 ) 2025
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機械学習によるLAPACK固有値計算ルーチンのテストシーケンス最適化の試行
樫村寛大, 片桐孝洋, 森崎修司, 星野哲也, 椋木大地
情報処理学会研究報告(Web) Vol. 2025 ( HPC-201 ) 2025
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コヒーレントイジングマシンの性能パラメタ最適化のための探索アルゴリズム選択可能な手法の提案
羽生達郎, 森下誠, 水木直也, 片桐孝洋, 椋木大地, 河合直聡, 星野哲也, 永井亨
情報処理学会研究報告(Web) Vol. 2025 ( HPC-198 ) 2025
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SVMによる誤差を含むクラス分類における多種疑似量子アニーラの性能評価
水木直也, 森下誠, 河合直聡, 片桐孝洋, 椋木大地, 星野哲也, 永井亨
情報処理学会研究報告(Web) Vol. 2025 ( HPC-198 ) 2025
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MCP・RAGを用いたプロシージャル3D生成LLMエージェント3Difyの提案とスパコンの利用
林俊一郎, 椋木大地, 片桐孝洋, 星野哲也, 大島聡史
情報処理学会研究報告(Web) Vol. 2025 ( HPC-200 ) 2025
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Application of Sextuple-Precision Operations using Quasi Triple-Word Arithmetic to Sparse Iterative Solvers Open Access
椋木大地, 尾崎克久
情報処理学会研究報告(Web) Vol. 2024-HPC-197 ( 11 ) page： 1 - 7 2024.12
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Performance Evaluation of Adaptive-Precision SpMV with Reduced-Precision Formats
Stef Grailla, Fabienne Jézéquel, Théo Mary, Roméo Molina, Daichi Mukunoki
HAL Vol. hal-04261073 2023.10
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CPUにおけるbatched BLASのためのタスクスケジューリング戦略
椋木大地, 廣田悠輔, 今村俊幸
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2021 2022
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A mixed-precision algorithm of the CG method using the group-wise update strategy
AIHARA Kensuke, OZAKI Katsuhisa, MUKUNOKI Daichi
Conference Proceedings. JSST Annual International Conference on Simulation Technology (Web) Vol. 41st 2022
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尾崎スキームによる無限精度内積と再現可能疎行列反復ソルバーへの応用
椋木大地, 尾崎克久, 荻田武史, 今村俊幸
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2022 2022
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不等分割による行列積のエラーフリー変換の高精度計算への応用
尾崎克久, 椋木大地, 荻田武史, 荻田武史
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2022 2022
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Acceleration of Error-Free Transformation of Matrix Multiplication using GPU Tensor Cores
OZAKI Katsuhisa, MUKUNOKI Daichi, OGITA Takeshi
International Conference on Simulation Technology (CD-ROM) Vol. 40th 2021
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Roman Iakymchuk, Daichi Mukunoki, Artur Podobas, Fabienne Jézéquel, Toshiyuki Imamura, Norihisa Fujita, Jens Huthmann, Shuhei Kudo, Yiyu Tan, Jens Domke, Kai Torben Ohlhus, Takeshi Fukaya, Takeo Hoshi, Yuki Murakami, Maho Nakata, Takeshi Ogita, Kentaro Sano, Taisuke Boku
CoRR Vol. abs/2004.04628 2020.4
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GPUの単精度演算・Tensorコアを用いた行列積のエラーフリー変換
尾崎克久, 椋木大地, 荻田武史
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2020 2020
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オーバー・アンダーフローを抑えた高精度かつ高速な2ノルム計算手法 Open Access
原山赳幸, 工藤周平, 椋木大地, 今村俊幸, 高橋大介
情報処理学会研究報告(Web) Vol. 2020 ( HPC-177 ) 2020
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尾崎スキームを用いたbinary128による4倍精度行列積
椋木大地, 尾崎克久, 荻田武史
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2020 2020
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尾崎スキームによる高精度かつ再現性のあるBLAS実装
椋木大地, 荻田武史, 尾崎克久, 今村俊幸
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2019 2019
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Level-3BLASに基づく高精度行列積計算法による高精度かつ再現性のあるBLASルーチンの実装とその最適化 Open Access
椋木大地, 荻田武史, 尾崎克久
情報処理学会研究報告(Web) Vol. 2018 ( HPC-166 ) 2018
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京コンピュータにおける2.5次元アルゴリズムを用いた分散並列行列積の実装と評価 Open Access
椋木大地, 今村俊幸
情報処理学会研究報告(Web) Vol. 2017 ( HPC-159 ) 2017
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KMATHLIB-High Performance and Scalable Numerical Library for the K Computer-
大井祥栄, 廣田悠輔, 椋木大地, 今村俊幸
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2016 2016
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コンシューマレンジのGPUに最適化した固有値ソルバーの実装と評価 Open Access
今村俊幸, 椋木大地
情報処理学会研究報告(Web) Vol. 2016 ( HPC-157 ) 2016
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Introduction of Research Activities for GPU Computing at Large-scale Parallel Numerical Computing Technology Research Team on AICS
MUKUNOKI Daichi, IMAMURA Toshiyuki, TAKAHASHI Daisuke
Plans and Future for International Collaborations on Extreme Scale Computing. 6th AICS International Symposium. RIKEN Symposium, 2016 2016
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大規模並列計算機における連立一次方程式の精度保証付き数値計算に対する性能評価 Open Access
森倉悠介, 椋木大地, 深谷猛, 山中脩也, 大石進一
情報処理学会研究報告(Web) Vol. 2016 ( HPC-157 ) 2016
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CUDA-BLAS等の選択による最速GPU固有値ソルバーの性能評価 Open Access
今村俊幸, 今村俊幸, 椋木大地, 山田進, 山田進, 町田昌彦, 町田昌彦
情報処理学会研究報告(Web) Vol. 2015 ( HPC-148 ) 2015
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SYMV・GEMVルーチン群のマルチGPU化とその評価 Open Access
今村俊幸, 今村俊幸, 椋木大地, 山田進, 山田進, 町田昌彦, 町田昌彦
情報処理学会研究報告(Web) Vol. 2015 ( HPC-151 ) 2015
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NVIDIA GPUにおけるメモリ律速なBLASカーネルのスレッド数自動選択手法 Open Access
椋木大地, 今村俊幸, 高橋大介
情報処理学会研究報告(Web) Vol. 2015 ( HPC-150 ) 2015
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NVIDIA GPUにおけるGEMVカーネルの自動チューニング
椋木大地, 今村俊幸, 高橋大介
計算工学講演会論文集(CD-ROM) Vol. 20 2015
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FFTを使った時間発展問題における累積誤差
佐々成正, 山田進, 町田昌彦, 椋木大地, 今村俊幸
日本応用数理学会年会講演予稿集(CD-ROM) Vol. 2015 2015
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京・FX10における倍々精度演算の高速化 Open Access
佐々木信一, 菱沼利彰, 藤井昭宏, 田中輝雄, 椋木大地, 今村俊幸
情報処理学会研究報告(Web) Vol. 2015 ( HPC-151 ) 2015
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短尺浮動小数点形式の検討 Open Access
椋木大地, 今村俊幸
情報処理学会研究報告(Web) Vol. 2015 ( HPC-152 ) 2015
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CUDA-xSYMVの実装と評価 Open Access
今村俊幸, 今村俊幸, 椋木大地, 山田進, 山田進, 町田昌彦, 町田昌彦
情報処理学会研究報告(Web) Vol. 2014 ( HPC-146 ) 2014
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MaxwellアーキテクチャGPUにおける疑似倍精度演算を用いたDGEMMの実装と評価 Open Access
椋木大地, 今村俊幸
情報処理学会研究報告(Web) Vol. 2014 ( ARC-213 ) 2014
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GPUにおける高速なCRS形式疎行列ベクトル積の実装 Open Access
椋木大地, 高橋大介
研究報告ハイパフォーマンスコンピューティング（HPC） Vol. 2013 ( 5 ) page： 1 - 7 2013.2
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GPUにおける4倍精度浮動小数点演算を用いたクリロフ部分空間法の高速化 Open Access
椋木大地, 椋木大地, 高橋大介
情報処理学会研究報告(Web) Vol. 2013 ( HPC-140 ) 2013
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Implementation and Evaluation of Triple and Quadruple Precision Floating-point Operations on GPUs
椋木大地, 高橋大介
情報処理学会論文誌トランザクション(CD-ROM) Vol. 2012 ( 2 ) 2013
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GPUにおける高速なCRS形式疎行列ベクトル積の実装
椋木大地, 高橋大介
情報処理学会研究報告(CD-ROM) Vol. 2012 ( 6 ) 2013
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GPUにおける4倍精度演算を用いた疎行列反復解法の実装と評価 Open Access
椋木大地, 高橋大介
研究報告ハイパフォーマンスコンピューティング（HPC） Vol. 2012 ( 37 ) page： 1 - 8 2012.12
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GPUによる3倍精度浮動小数点演算の検討 Open Access
椋木大地, 高橋大介
情報処理学会研究報告(CD-ROM) Vol. 2011 ( 4 ) 2011
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GPUによる4倍精度BLASの実装と評価
椋木大地, 高橋大介
計算工学講演会論文集 Vol. 15 ( 2 ) 2010
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Implementation and Evaluation of Quadruple Precision BLAS on GPU Open Access
椋木大地, 高橋大介
情報処理学会研究報告(CD-ROM) Vol. 2009 ( 4 ) 2009
KAKENHI (Grants-in-Aid for Scientific Research) 8
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Application of High Precision Operation Techniques for Accelerating Scientific Computations on AI Supercomputers
Grant number：25K24387 2025.7 - 2027.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Research Activity Start-up
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Development of Accurate and Validated Matrix Computation Software for Next Generation Supercomputers
Grant number：20KK0259 2022.4 - 2023.10
Japan Society for the Promotion of Science (JSPS) Fund for the Promotion of Joint International Research (Fostering Joint International Research (A)) Fund for the Promotion of Joint International Research (Fostering Joint International Research (A))
Daichi Mukunoki
Authorship：Principal investigator
Grant amount：\9230000 （ Direct Cost: \7100000 、 Indirect Cost：\2130000 ）
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Development of accurate and reproducible matrix computation library for massively parallel environments
Grant number：19K20286 2019.4 - 2022.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists
Mukunoki Daichi
In this study, we developed the Basic Linear Algebra Subprograms (BLAS) for massively parallel architectures, which is accurate and can ensure reproducibility of computation results among different environments. Focusing mainly on the Ozaki scheme, we have developed a high-performance implementation of accurate and reproducible BLAS routines, and demonstrated its application to sparse iterative solvers on CPUs and GPUs. As further applications, we proposed an implementation of a single/double precision matrix multiplications using low-precision arithmetic units (Tensor Cores) and a binary128 matrix multiplication using single/double precision matrix multiplications.
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Reduced-precision formats for high-performance and energy-efficient computations
Grant number：16K16062 2016.4 - 2019.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B) Grant-in-Aid for Young Scientists (B)
Mukunoki Daichi
This study explored the possibility of reduced-precision formats which have shorter bit length against the IEEE 32/64 bit floating-point for enchance the performance of numerical computations in terms of both computation speed and energy efficiency. We proposed a light-weight implementation of reduced-precision formats on software and demonstrated the performance improvement, in terms of both speed and energy efficiency, on some data-intensive operations on basic linear algebra.
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ＧＰＵスパコンのための３倍・４倍精度線形演算ライブラリの開発に関する研究
Grant number：13J01290 2013.4 - 2015.3
日本学術振興会 科学研究費助成事業 特別研究員奨励費 特別研究員奨励費
椋木 大地
本研究の目的は，GPUスパコンにおける3倍・4倍精度演算の実用化を目的として，GPUにおける高性能な3倍・4倍精度線形計算ライブラリの実現に向けた基礎研究を行うことであった．本年度は主として，GPUにおける複数の演算精度に対応した線形計算ライブラリの効率的な実装手法に関する研究を行った，その結果として，複数のNVIDIA GPUアーキテクチャに対応した高速な行列ベクトル積ルーチン（GEMV）の実装手法を開発した．本実装ではGPUにおけるプログラムの実行メカニズムをモデル化し，実行効率が最大となるようなスレッドブロックサイズを自動的に決定するオンライン自動チューニングを採用する．これにより既存の実装と比べ，実行環境や問題サイズに依存して生じる性能の変動を防ぎ，常に高い性能を維持できる．本手法は，ある線形計算を行うプログラム（例えばBLASルーチンなど）において演算精度が異なる複数バージョンを実装・最適化する上で有効であると考えられる．またこの他に，4倍精度演算手法の応用として，倍精度演算性能が単精度演算性能の1/32であるNVIDIA社の最新GPUにおいて，ソフトウェアエミュレーションによる疑似倍精度演算を実装し，倍精度行列積ルーチン（DGEMM）においてハードウェア処理による実装を上回る性能が得られることを示した．本年度に開発したGPU向けソフトウェアの一部は，オープンソースのライブラリとしてウェブ上で公開しており，今後も開発を継続する予定である．
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Research on high-performance and high-dimensional numerical linear algebra applying an asynchronous task mechanism on the exascale computing era
Grant number：19H04127 2019.4 - 2022.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B) Grant-in-Aid for Scientific Research (B)
Imamura Toshiyuki
Authorship：Coinvestigator(s)
The main objective of this research project is to study asynchronous numerical algorithms and task technologies to improve system execution efficiency in the exascale era and to realize a development framework for high-performance numerical software that is sustainable in the future. To address this issue, we will investigate existing compiler runtime technologies, identify problems related to conditional task invocation and dynamic processing of dependencies that are necessary to realize numerical algorithms and incorporate them into actual numerical libraries to achieve results that contribute not only to execution speed but also to utilization efficiency. As a result, we identified issues related to the next generation of mixed-precision computation technology.
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Theory and Application of Scalable Numerical Software on an O(100M) core environment
Grant number：15H02709 2015.4 - 2018.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B) Grant-in-Aid for Scientific Research (B)
IMAMURA Toshiyuki, YAMAMOTO Yusaku, Todo Shinji
This research project aims to realize high performance numerical services investigated in the past based on new mathematical principles in the emerging computing system where tens of thousands to hundreds of millions of processing cores are installed. Giving two important themes, `Mixed-granularity numerical kernel' and `Asynchronous numerical algorithm,' we conducted; i) the research on the theory of asynchronous numerical algorithms. Also avoidance of communication and synchronization at a practical level, then CAHTR and a new method for the FDTD scheme were proposed. Furthermore, we have practiced; ii) promoting research on core numerical infrastructure technologies such as automatic tuning for scalable, lightweight code generation at super-many-core, and promoting innovative research leading to the next generation numerical calculation software.
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Development of Accurate Numerical Method of Linear Systems Based on De Facto Standard Library
Grant number：15K15939 2015.4 - 2017.3
Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)
MORIKUARA Yusuke, OISHI Shin'ichi, Rump Siegfried M., OGITA Takeshi, OZAKI Katsuhisa, HUKAYA Takeshi, MUKUNOKI Daichi, YAMANAKA Naoya
In this research, we implemented and evaluated numerical verification methods for large-scale systems of linear equations using de-facto standard numerical software libraries on super computer. In addition, we concerned with numerical verification algorithms for large-scale systems of linear equations.
We clarified that accuracy can be guaranteed for large-scale problems by combining accurate computations for matrix multiplication and error-free transformation of floating-point arithmetic on K computer.
Our algorithms obtained in this research estimates rounding error using a priori error estimate of floating-point arithmetic. Implementation of our programs are done by using de-facto standard numerical software libraries. Therefore, the program can be executed by any supercomputer based on the IEEE 754 standard.
Teaching Experience (Off-campus) 4
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コンピュータ科学実験b
2025.10 - 2025.11 （名古屋大学 情報学部 コンピュータ科学科）
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Numerical Analysis
2025.4 - 2025.6 （Department of Computer Science, School of Informatics, Nagoya University）
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Computer Science Experiment a
2025.4 - 2025.5 （Department of Computer Science, School of Informatics, Nagoya University）
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情報処理技法（リテラシ）II
2018.9 - 2019.1 （Tokyo Woman's Christian University）