採択課題 【詳細】
jh240029 | Innovative Computational Science by Integration of Simulation/Data/Learning on Heterogeneous Supercomputers |
---|---|
課題代表者 | 中島研吾(東京大学情報基盤センター) Kengo Nakajima (Information Technology Center, The University of Tokyo) |
概要 |
In this project, we advance computational science by integrating "Simulation/Data/Learning (S+D+L)” using heterogeneous supercomputers like “Wisteria/BDEC-01 (U.Tokyo)” and “Flow (Nagoya U.)”, along with "mdx." In FY.2021 and FY.2022, our focus was earthquake simulation with real-time data assimilation. From FY.2023, we expand the "S+D+L" concept to other fields, initiating joint research and software development with international partners (Germany: JSC, FAU, France: CEA, Croatia: RBI). The project's leading PI and colleagues have been working on the innovative software platform “h3-Open-BDEC (https://h3-open-bdec.cc.u-tokyo.ac.jp/)” [3,4,5] since FY.2019 to facilitate "S+D+L" integration on heterogeneous systems like Wisteria/BDEC-01. Currently, Wisteria/BDEC-01 (“Odyssey” for Simulations with A64FX, “Aquarius” for Data/ML/AI with NVIDIA A100) operates as a full-scale platform for "S+D+L" integration with h3-Open-BDEC, gaining global attention. In FY.2023, we conducted research in atmospheric simulations, ported international partner applications to Wisteria/BDEC-01, and investigated "S+D+L" integration using h3-Open-BDEC. For FY.2024, we switch to the international project and focus on the fields of earth science, life science, and library/software/tool for integration of "S+D+L". JSC (Jülich Supercomputing Centre, Germany), one of the international partners of this project, also conducts research on heterogeneous computing based on the idea of Modular Supercomputing Architecture. Some of the target applications in this project by JSC, such as TSMP and ChASE, are already feasible in heterogeneous environments. |
関連Webページ | |
報告書等 | 研究紹介ポスター / 最終報告書 |
業績一覧 | (1) 学術論文 (査読あり) |
[] Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao, 2025, Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records, Journal of Geophysical Research: Machine Learning and Computation, 2 (2) | |
[] Yen-Chen Chen, Kengo Nakajima, 2024, A Cascadic Parareal Method for Parallel-in-Time Simulation of Compressible Supersonic Flow, Journal of Information Processing, Vol.32, 369-379 (2024) | |
[] Daniel Caviedes-Voullième, Seong-Ryong Koh, Stefan Poll, Estela Suarez, Takashi Arakawa, Kengo Nakajima, Shinji Sumimoto, 2025, Portability of Multiphysics Applications on Heterogeneous Modular Supercomputers, Lecture Notes in Computer Science Parallel Processing and Applied Mathematics, 47-62 | |
(2) 国際会議プロシーディングス (査読あり) | |
[] Kengo Nakajima, 2024, Communication-Computation Overlapping for Parallel Multigrid Methods, 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 751-760 | |
[] Tsuyoshi Ichimura, Kohei Fujita, Ryota Kusakabe, Hiroyuki Fujiwara, Muneo Hori, Maddegedara Lalith, 2024, Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-Dimensional Ground Structure Model by Combining Surface-Observed Seismic Motion and Three-Dimensional Seismic Motion Analysis, Lecture Notes in Computer Science Computational Science – ICCS 2024, 272-287 | |
[] Caviedes-Voullieme, D., Koh, S.-R., Poll, S., Suarez, E., Arakawa, T., Nakajima, K., Sumimoto, S., Portability of Multiphysics Applications on Heterogeneous Modular Supercomputers, Proceedings of Workshop on Advancements of Global Challenges Applications in conjunction with PPAM24, 2024 | |
[] Kunitomo-Jacquin, L., Lomet, A., Daniel, G., Assessing Causal Graph Uncertainty and Optimized Multivariate Discretization Strategy, Proceeding of 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IMPU 2024), 2024 | |
[] M.A. Badri, C. Bourcier, E. Foerster, 2024, top-ii-vol: Massively Parallel Scalable Meshing for Seismic Risk Assessment of Nuclear Sites, EPJ Web of Conferences, 302, 05007 | |
[] Xinzhe Wu, Edoardo Di Napoli, ChASE: An Application-Driven Eigensolver in the Era of Exascale Computing, Project Poster, ISC-HPC 2025 (in press) | |
[] Hiromichi Nagao, Shin-Ichi Ito, Mitsuru Matsumura, 2024, Dominant Mode Extraction Based on the Four-Dimensional Variational Method, 2024 27th International Conference on Information Fusion (FUSION), 1-8 | |
[] Shinji Sumimoto, Takashi Arakawa, Yoshio Sakaguchi, Hiroya Matsuba, Satoshi Ohshima, Hisashi Yashiro, Toshihiro Hanawa, Kengo Nakajima, 2025, WaitIO-Hybrid: Communication for Coupling MPI Programs Among Heterogeneous Systems, Lecture Notes in Computer Science Parallel and Distributed Computing, Applications and Technologies, 140-153 | |
[] Shinji Sumimoto, Takashi Arakawa, Yoshio Sakaguchi, Hiroya Matsuba, Satoshi Ohshima, Hisashi Yashiro, Toshihiro Hanawa, Kengo Nakajima, 2025, Accelerating Heterogeneous Coupling Computing with WaitIO Using RDMA, Proceedings of the 2025 International Conference on High Performance Computing in Asia-Pacific Region Workshops, 1-10 | |
[] Takashi Arakawa, Hisashi Yashiro, Shinji Sumimoto, Kengo Nakajima, 2025, Large Scale Ensemble Coupling of Non-hydrostatic Atmospheric Model NICAM, Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 64-71, 2024 | |
[] Tsuji, M., Nakajima, K., Sato, M., Research and Development of Quantum-Supercomputers Hybrid Platform for Exploration of Uncharted Computable Capabilities, ISC-HPC 2024 Project Poster, Hamburg, Germany, 2024 | |
[] Tsuji, M., Nakajima, K., Sato, M., JHPC-Quantum: Updates for Research and Development of Quantum-Supercomputers Hybrid Platform for Exploration of Uncharted Computable Capabilities, ISC-HPC 2025 Project Poster, Hamburg, Germany, 2025 (in press) | |
[] Nakajima, K., Furumura, T., Boillod-Cerneux, F., Di Napoli, E., Suarez, E., Arakawa, T., Sumimoto, S., Yashiro, H., Innovative Computational Science by Integration of Simulation/Data/Learning on Heterogeneous Supercomputers, ISC-HPC 2025 Project Poster, Hamburg, Germany, 2025 (in press) | |
(3) 国際会議発表(査読なし) | |
[] Nakajima, K., JHPC-quantum Project for Building Quantum-HPC Hybrid Computing Platform, IBM Quantum Spotlight Session in conjunction with SCA25, March 11, 2025, Singapore【Invited Talk】 | |
[] Nakajima, K., Integration of 3D Earthquake Simulation & Real-time Data Assimilation, ACM ASEAN School on HPC/AI in conjunction with SCA25, March 10-14, 2025, Singapore【Invited Talk】 | |
[] Nakajima, K., Integration of Simulation/Data/Learning and Beyond, Green and Low Carbon Computing Summit, Yokohama, Japan, 2024【Invited Talk】 | |
[] Nakajima, K., Communication-Computation Overlapping in Parallel Multigrid Methods, 18th Copper Mountain Conference on Iterative Method, Copper Mountain, Colorado, USA, 2024 | |
[] Nakajima, K., How Japanese HPC Community can contribute to HANAMI Project: Perspective from RIKEN and Supercomputing Centers in Japan, HANAMI Kick-Off, Paris/Online, April 2024 | |
[] Sumimoto, S., Nakajima, K., Hybrid and Heterogeneous Center-wide Disaggregated Computing using WaitIO, ISC-HPC24 BoF: Disaggregated Heterogeneous Architectures, 2024【Invited Talk】 | |
[] Nakajima, K., Integration of Simulation/Data/Learning in CEA-RIKEN-U.Tokyo Collaboration, CEA-RIKEN Workshop, Paris, May 2024【Invited Talk】 | |
[] Yashiro H., Feasibility study for the next flagship supercomputer development and high-resolution climate modeling efforts in Japan. 8-th ENES HPC workshop on “High-resolution climate and weather modelling”, Lecce, Italy, 2024【Invited Talk】 | |
[] Yashiro H., Development of a weather/climate model for Japan's new flagship machine following Fugaku. Workshop on Global Storm-Resolving Analysis Bridging Atmospheric and Cloud Dynamics, 2024 | |
[] Yashiro H., Yamazaki K., Arakawa T., Shuhei M., Intyshar S., Nakajima K., Optimization, Translation, and Transformation of an Atmospheric Model to Utilize GPUs: A Case of NICAM, The 21st Annual Meeting of Asia Oceania Geosciences Society (AOGS2024), Pyeongchang, Korea, 2024 | |
[] Nakajima, K., Integration of Simulation/Data/Learning and Beyond, 16th World Congress on Computational Mechanics & 4th Pan American Congress on Computational Mechanics (WCCM-PANACM Vancouver 2024), Vancouver, B.C., Canada, 2024【Semi-Plenary Talk】 | |
[] Sumimoto, S., Hierarchical, Hybrid, Heterogeneous Center-wide Computing using WaitIO, Shinji Sumimoto, 47th ASE Seminar, July 30, 2024 | |
[] Donahue A., Yashiro H., Quintino T., Dipankar A. (2024) Climate modeling at Exascale: Status, Challenges and Collaboration Opportunities. International Computing in the Atmospheric Sciences Symposium (iCAS2024) | |
[] Nakajima, K., Shimokawabe, T., Kawai, M., Sumimoto, S., Arakawa, T., Yashiro, H., Towards Sustainable Promotion of Scientific Discovery by Integration of Simulation/Data/Learning (S+D+L) on Exascale Supercomputers, Sustainable Project Pathways for HPC Software and Applications WS in conjunction with IEEE eScience 2024, Osaka, 2024【Invited Talk】 | |
[] Sumimoto, S., Center-Wide Heterogeneous Coupling Computing with WaitIO, Shinji Sumimoto, 48th ASE Seminar, September 20, 2024 | |
[] Nakajima, K., Furumura, T., Boillod-Cerneux, F., Di Napoli, E., Suarez, E., Arakawa, T., Sumimoto, S., Yashiro, H., Innovative Computational Science by Integration of Simulation/Data/Learning on Heterogeneous Supercomputers, IEEE CLUSTER 2024-Poster, 2024 | |
[] Sumimoto, S., Yamazaki, K., Hu, Y., Nakajima, K., Heterogeneous Application Coupling Library for Center-Wide QC-HPC Hybrid Computing, IEEE CLUSTER 2024-Poster, 2024 | |
[] Luigi Genovese, William Dawson, Remote management of Interoperable Workflows on Heterogeneous supercomputers: case study on drug resistance of HIV-1, HANAMI High Level Symposium. Barcelona, January (2025) | |
[] Luigi Genovese, William Dawson, Studying Distal Mutations of HIV-1 on a Heterogeneous Supercomputer, RIKEN-CEA Workshop. Kobe, December (2024) | |
[] M.A. Badri, C. Bourcier, E. Foerster, “top-ii-vol: Massively Parallel Scalable Meshing for Seismic Risk Assessment of Nuclear Sites.” Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024), Paris, France, October 2024. | |
[] M.A. Badri, A. Lomet, E. Foerster, “GPU & ML Assisted High-fidelity Earthquake FEM Simulations,” Annual AIDAS Workshop, Paris, France, September 11–13, 2024. | |
[] M.A. Badri, G. Grospellier, C.A. Leger, K. Alaire, E. Foerster, A. L’Heritier, “ArcaneFEM: Implicit FEM with GPU Acceleration for Unstructured Meshes.” CEA-RIKEN Annual Workshop, Kobe, Japan, December 11–12, 2024. | |
[] M.A. Badri, G. Grospellier, C.A. Leger, K. Alaire, E. Foerster, A. L’Heritier, “ArcaneFEM: Scalable GPGPU Implicit FEM Solver for Unstructured Meshes.” Rencontres Arcane - Arcane User Day, March 24, 2025 | |
[] Yashiro H. (2024) Development of Global Atmospheric Model NICAM towards Fugaku-NEXT era. HANAMI High-Level Symposium, Barcelona, Jan. 13-15, 2025 (Oral) | |
[] Nagao, H., Four-dimensional variational method for data assimilation and its applications to models in solid Earth science, 2024 Japan-Taiwan Joint Workshop on Inverse Problems and Related Topics, Taipei, Taiwan, November 8, 2024【Invited Talk】 | |
[] Nagao, H., R. Kaneko, S. Ito, H. Tsuruoka, and K. Obara, Detection of deep low-frequency tremors from continuous paper records at a station in southwest Japan about 50 years ago based on convolutional neural network, American Geophysical Union Fall Meeting 2024, Washington, D.C., USA, December 10, 2024. | |
[] Kusui, T, H. Nagao, S. Ito, S. Katoh and, T. Tokuda, Acquiring a stochastic differential equation representation to characterize low-frequency tremors from seismic waveform data using deep learning, American Geophysical Union Fall Meeting 2024, Washington, D.C., USA, December 9, 2024. | |
[] Nagao, H., S. Ito, and M. Matsumura, Dominant mode extraction based on the four-dimensional variational method, 2024 27th International Conference on Information Fusion, Venice, Italy, July 9, 2024. | |
[] Shinji Sumimoto, Kengo Nakajima, Hybrid and Heterogeneous Coupling Computing with WaitIO, ADAC Portability, Sustainability & Integration Working Group Talk, Oct. 25th 2024 (Remote) | |
[] Shinji Sumimoto, Hierarchical, Hybrid, Heterogeneous Center-wide Computing using WaitIO, SC24 Booth Talk at Nagoya University, Nov. 19th, 2024 | |
[] Shinji Sumimoto, Kazuya Yamazaki, Yao Hu, Kengo Nakajima, Heterogeneous Application Coupling Library for Center-Wide QC-HPC Hybrid Computing, IEEE CLUSTER 2024 Poster, Sept. 24-27 2024 | |
[] Shinji Sumimoto, Kazuya Yamazaki, Yao Hu, Kengo Nakajima, Center-Wide High Performance Communication for QC-HPC Hybrid Heterogeneous Coupling Computing, Super Computing Asia(SCAsia) 2025 Poster, Mar. 10-13 2025 | |
[] Shinji SUmimoto, High Performance Heterogeneous Coupling Computing with WaitIO, 51st ASE Seminar, November 1, 20 | |
[] Takeshi Fukaya, Performance Evaluation of Algorithms for Tall-Skinny QR Factorization on Recent Computer Systems, SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, USA, March 3-7, 2025 (poster) | |
[] Nakajima, K., Road to "AI for Science": Exploring Software Sustainability through "Couplers", 51st ASE Seminar, Information Technology Center, The University of Tokyo, November 2024 | |
[] Nakajima, K., Integration of Simulation/Data/Learning and Beyond with Miyabi, JCAHPC/U.Tokyo Booth Talk at SC24, November 2024 | |
[] Nakajima, K., CEA-RIKEN-U.Tokyo Collaboration in JHPCN, CEA-RIKEN Workshop, Kobe, December 2024 | |
[] Nakajima, K., Road to "AI for Science": Exploring Software Sustainability through "Couplers", MMCP Workshop in conjunction with HPC Asia 2025, Hsinchu, Taiwan, 2025【Invited Talk】 | |
[] Nakajima, K., Road to "AI for Science": Exploring Software Sustainability through "Couplers", MS17: Progress & Challenges in Extreme Scale Computing & Big Data, SIAM Conference on Computational Science & Engineering (CSE25), March 3-7, 2025, Fort Worth, TX, USA | |
[] Nakajima, K., JHPC-quantum Project for Building Quantum-HPC Hybrid Computing Platform, IBM Quantum Spotlight Session in conjunction with SCA25, March 11, 2025, Singapore【Invited Talk】 | |
[] Nakajima, K., Integration of 3D Earthquake Simulation & Real-time Data Assimilation, ACM ASEAN School on HPC/AI in conjunction with SCA25, March 10-14, 2025, Singapore【Invited Talk】 | |
[] Nakajima, K., Innovative Supercomputing by Integrations of Simulations/Data/Learning on Large-scale Heterogeneous Systems, ABS4S: International Workshop on ARM-Based System for Science in conjunction with SCA25, March 13, 2025, Singapore【Invited Talk】 | |
[] Nakajima, K., Road to "AI for Science": Exploring Software Sustainability through "Couplers", 2025 Conference on Advanced Topics & Auto Tuning in High-Performance Scientific Computing (ATAT in HPSC 2025), Tainan, Taiwan, March 21-22, 2025【Invited Talk】 | |
(4) 国内会議発表(査読なし) | |
[] 中島研吾,通信・計算オーバーラップによる並列多重格子法の最適化,日本応用数理学会2024年度年会,京都,2024 | |
[] 住元真司,荒川隆,坂口吉生,松葉浩也,八代 尚,大島聡史,塙敏博,中島研吾, WaitIOのRDMAによる通信高速化,情報処理学会研究報告(2024-HPC-194-8),第194回HPC研究会,2024 | |
[] 中島研吾,(計算・データ・学習)融合による革新的スーパーコンピューティングの新展開,第29回計算工学講演会論文集,2024 | |
[] Nakajima, K., Further Investigation for Optimization of Communication-Computation Overlapping in Parallel Multigrid Methods, IPSJ SIG Technical Reports 2024-HPC-195-020, 2024 | |
[] 深谷猛, 縦長行列のQR分解に対する様々なアルゴリズムの性能評価,日本応用数理学会2024年度年会,京都,2024 | |
[] 植野貴大,住元真司,中島研吾,片桐孝洋,大島聡史,星野哲也,河合直聡,永井亨, WaitIO+MPI Hybridによる異種システム間でのAllreduceの高速化,情報処理学会研究報告(2024-HPC-196-5),第196回HPC研究会,2024 | |
[] 深谷猛, 中務佑治, 山本有作, 縦長行列の列ピボット付きQR分解に対するコレスキーQR型アルゴリズム, RIMS共同研究(公開型)計算科学に資する数値解析学の展開,京都大学数理解析研究所,2024【Invited Talk】 | |
[] 八代尚 (2025) HPC-AI融合時代における気象・気候シミュレーションの変革と挑戦:NICAMでの取り組み, 富岳NEXT FSシンポジウム, 東京, 2025年3月25日 | |
[] 八代尚 (2024) 次世代計算機への期待と高解像度気候モデルの開発展望について, 2024年度陸モデル開発検討会, 那覇, 2024年11月28-29日 | |
[] 長尾 大道,加藤 慎也,楠井 俊朗,人工知能に基づく地震波形表現モデル獲得,Conductivity Anomaly研究会,東京,2025年3月14日【Invited Talk】 | |
[] 長尾 大道,地震ビッグデータ解析の最前線,シンポジウム「あたらしい統計科学」,金沢,2024年9月23日【Invited Talk】 | |
[] 長尾 大道,地震学と統計学の接点,統計サマーセミナー2024,新潟,2024年7月30日【Invited Talk】 | |
[] 楠井 俊朗,長尾 大道,伊藤 伸一,加藤 慎也,徳田 智磯,連続時間生成モデルによる地震波形データに基づくスロー地震の確率微分方程式表現の獲得,第19回 日本統計学会春季集会,東京都,2025年3月8日 | |
[] 楠井 俊朗,長尾 大道,伊藤 伸一,徳田 智磯,加藤 慎也,シグネチャ法を用いたスロー地震の特徴抽出,2024年度 統計関連学会連合大会,東京,2024年9月3日 | |
[] 森川 耕輔,長尾 大道,高原 健,平田 直,地震波と地震カタログの統合による本震直後の早期余震活動推定,日本地球惑星科学連合2024年大会,千葉,2024年5月27日 | |
[] 住元真司, 荒川隆, 坂口吉生, 八代尚, 大島聡史, 塙敏博, 中島研吾, RDMA対応WaitIOにおけるメモリ登録キャッシュの設計, 情報処理学会研究報告, 2024, 12(HPC-197) 2024 | |
[] 深谷猛, 縦長行列のQR分解に対するコレスキーQR型アルゴリズムの最近の進展, 第16回 自動チューニング技術の現状と応用に関するシンポジウム(ATTA2024), 2024/12/26, 東京 | |
[] Nakajima, K., Effects of Process/Thread Allocation for Optimization of Communication-Computation Overlapping in Parallel Multigrid Methods, IPSJ SIG Technical Report (2024-HPC-197-23), 2024 | |
[] 中島研吾,AI for Science:「カプラ」を通してソフトウェアの持続可能性を探究する,第16回 自動チューニング技術の現状と応用に関するシンポジウム(ATTA2024),2024年12月26日,東京 | |
[] 濱村一航,荒川隆,住元真司,山崎一哉,古家真之介,中島研吾,QC-HPCハイブリッド環境構築に向けた試みとその普及,情報処理学会研究報告(2025-QS-14-5),2025 | |
[] 胡曜,山崎一哉,住元真司,中島研吾,量子コンピュータとHPC統合スケジューリングのシミュレーション,情報処理学会研究報告(2025-HPC-198-29),2025 | |
(5) 公開したライブラリなど | |
該当なし | |
(6) その他(特許,プレスリリース,著書等) | |
[] (修士論文)Ujeniya, A., Extending a Simulation Framework for Performance Assessment of Parallel Applications, Master’s Thesis, Friedrich-Alexander-University of Erlangen-Nürnberg, September 2024 (Co-Supervised by Ayesha Afzal, Gerhard Wellein, Georg Hager, Shinji Sumimoto, Kengo Nakajima) | |
[] (チュートリアル)長尾大道,地震研究所スプリングスクール「人工知能を活用した地震研究」,2024年8月 | |
[] (チュートリアル)長尾大道,地震研究所スプリングスクール「人工知能を活用した地震研究」,2025年3月 | |
[] (報道)長尾大道,「震災の帯」解明 研究の礎,読売新聞,2025年1月10日 | |
[] (修士論文)A. Deponthieux, Integration of Causality in HPC for Seismic Wave Propagation Analysis, Master’s Thesis, Institut National des Sciences Appliquées de Lyon (INSA Lyon), 2024. Co-supervised by A. Lomet & M.A. Badri. | |
[] (チュートリアル)2-Day Intensive Course on “Integration of Simulation, Data, and Machine Learning on a Heterogeneous Supercomputer System”, National Center for Theoretical Sciences, Taiwan, National Taiwan University, February 17-18, 2025 | |
[] (チュートリアル)第238回お試しアカウント付き並列プログラミング講習会「『CUDA-Q+Wisteria/BDEC-01+h3-Open-BDEC』で『量子・HPCハイブリッド』を体験してみよう!」,2024年12月18日,東京大学情報基盤センター | |
[] (修士論文)楠井 俊朗,Acquiring a Stochastic Differential Equation Representation to Characterize Low-Frequency Tremors from Seismic Waveform Data Using Deep Learning,東京大学大学院情報理工学系研究科 数理情報学専攻 修士論文,2025年1月 |