2020（令和2）年度

2020年度の業績一覧です．

学術論文

  • Afanasyev, I.V., Voevodin, V.V., Komatsu, K. Kobayashi, H. “VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture,” Journal of Supercomputing, (2021). https://doi.org/10.1007/s11227-020-03564-9
  • Takashi Soga, Kenta Yamaguchi, Raghunandan Mathur, Osamu Watanabe, Akihiro Musa, Ryusuke Egawa, and Hiroaki Kobayashi. “Effects of Using a Memory-Stalled Core for Handling MPI Communication Overlapping in the SOR Solver on
    SX-ACE and SX-Aurora TSUBASA,” Supercomputing Frontiers and Innovations (accepted).
  • Michael R. Zielewski, Mulya Agung, Ryusuke Egawa, and Hiroyuki Takizawa, “Improving Quantum Annealing Performance on Embedded Problems,” Supercomputing Frontiers and Innovations, 2021 (accepted).
  • Hiroyuki Takizawa, Shinji Shiotsuki, Naoki Ebata, Ryusuke Egawa, “OpenCL-like Programming Environment with Metaprogramming for SX-Aurora TSUBASA,” Elsevier Parallel Computing, 2021 (accepted).
  • Mulya Agung, Yuta Watanabe, Henning Weber, Ryusuke Egawa and Hiroyuki Takizawa, “Preemptive Parallel Job Scheduling for Heterogeneous Systems Supporting Urgent Computing,” IEEE Access, Jan. 2021.
  • T. Ishihara, Y. Kaneda, K. Morishita, M. Yokokawa, and A. Uno,”Second-order velocity structure functions in direct numerical simulations of turbulence with R up to 2250,” Physical Review Fluids, Vol. 5, 104608, pp. 1-15 (2020), https://doi.org/10.1103/ PhysRevFluids.5.104608.
  • T. Imamura, M. Aoki, and M. Yokokawa, Batched 3D-Distributed FFT Kernels, “Towards Practical DNS Codes,” Parallel Computing: Technology Trends, I. Foster et al. (Eds.), pp. 169 – 178, IOS Press (2020), https://doi.org/10.3233/APC200038
  • Kazuhiko Komatsu, Ayumu Gomi, Ryusuke Egawa, Daisuke Takahashi, Reiji Suda, Hiroyuki Takizawa, “Xevolver: A code transformation framework for separation of system‐awareness from application codes,”Concurrency and Computation:
    Practice and Experience, Vol. 32, No.7, 2020.
  • Mulya Agung, Muhammad Alfian Amrizal, Ryusuke Egawa, and Hiroyuki Takizawa. “Online MPI Process Mapping for Coordinating Locality and Memory Congestion on NUMA Systems,” Supercomputing Frontiers and Innovations, Volume 7,
    Number 1, pp. 71-90, 2020.
  • Masayuki Sato, Takuya Toyoshima, Hikaru Takayashiki, Ryusuke Egawa, Hiroaki Kobayashi, “A Dynamic Data Allocation Mechanism for Many-Channel Memory Systems,” Journal of Supercomputing Frontiers and Innovations, Vol. 6, No. 4, pp.4-19, 2020

国際会議発表

  • M. Yokokawa, A. Nakai, K. Komatsu, Y. Watanabe, Y. Masaoka, Y. Isobe, and H. Kobayashi, “I/O Performance of the SX-Aurora TSUBASA,” Proc. of2020 IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW), pp. 27-35 (2020), https://doi.org/10.1109/IPDPSW50202.2020.00014
  • Yiran Cheng, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi, “A Deep Reinforcement Learning based Feature Selector,” In Proceedings of the 11th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP’20), December 2020.
  • Bin Qi, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi, “A Dynamic Parameter Tuning Method for High Performance SpMM,” In Proceedings of the 11th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP’20), December 2020.
  • Akito Onodera, Kazuhiko Komatsu, Soya Fujimoto, Yoko Isobe, Masayuki Sato, and Hiroaki Kobayashi, “Optimization of the Himeno Benchmark for SX-Aurora TSUBASA,” In Proceedings of International Symposium on Benchmarking, Measuring and Optimizing (Bench’20), November 2020.
  • Masahito Kumagai, Kazuhiko Komatsu, Fumiyo Takano, Takuya Araki, Masayuki Sato, and Hiroaki Kobayashi, “Combinatorial Clustering based on an Externally-defined One-hot Constraint,” In Proceedings of The Eighth International Symposium on Computing and Networking, November 2020.
  • Hao Tang, Kazuhiko Komatsu, Masayuki Sato, and Hiroaki Kobayashi, “An Efficient Skinny Matrix-Matrix Multiplication Method by Folding Input Matrices into Tensor Core Operations,” In Proceedings of The Eighth International Symposium on Computing and Networking, November 2020.
  • Takumi Kishitani, Kazuhiko Komatsu, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi, “Importance of Selecting Data Layouts in the Tsunami Simulation Code,” In Proceedings of International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.830–837, May 2020.
  • Masayuki Sato, Xue Hao, Kazuhiko Komatsu, Hiroaki Kobayashi, “Energy-Efficient Design of an STT-RAM-based Hybrid Cache Architecture,” In Proceedings of IEEE Symposium on High-Performance and Low-Power Chips and Systems (COOL Chips 23), April 2020.
  • Akihiro Musa, Takashi Soga, Takashi Abe, Masa Sato, Kazuhiko Komatsu, Shinichi Koshimura, Hiroaki Kobayashi, “Evaluation of Tsunami Inundation Simulation using Vector-Scalar Hybrid MPI on SX-Aurora TSUBASA,” The poster presentation at The International Conference for High Performance Computing, Networking, Storage and Analysis (SC20), November 2020.
  • Akito Onodera, Kazuhiko Komatsu, Takumi Kishitani, Masayuki Sato, Yoko Isobe, Hiroaki Kobayashi, “Optimizations for the Himeno Benchmark on Vector Computing System SX-Aurora TSUBASA,” Research Poster in ISC High Performance, June 2020.Masahito Kumagai, Kazuhiko Komatsu,
  • Masayuki Sato, Hiroaki Kobayashi, “An Evaluation of a Hierarchical Clustering Method Using Quantum Annealing,” Research Poster in ISC High Performance, June 2020.
  • Shunsuke Tsukada, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi, “Metadata Management for Large-Scale Hybrid Memory Architectures,” Research Poster in ISC High Performance, June 2020.
  • Ilya. V. Afanasyev, Vladimir V. Voevodin, Kazuhiko Komatsu, and Hiroaki Kobayashi, “Developing an Ecient Vector-Friendly Implementation of the Breadth- first Search Algorithm for NEC SX-Aurora TSUBASA,” In Proceedings of 16th International Conference on Parallel Computing Technologies, April 2020.
  • Yinan Ke, Mulya Agung, and Hiroyuki Takizawa, “NeoSYCL: a SYCL implementation for SX-Aurora TSUBASA, ” The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021). Association for Computing Machinery, New York, NY, USA, 50–57. 2021.
  • Antoniette Mondigo, Tomohiro Ueno, Kentaro Sano, and Hiroyuki Takizawa, “Comparison of direct and indirect networks for high-performance FPGA clusters,” 16th International Symposium on Applied Reconfigurable Computing (ARC2020), 2020.
  • Suhang Jiang, Mulya Agung, Ryusuke Egawa, and Hiroyuki Takizawa, “Task Priority Control for the HPX Runtime System,” 2020 IEEE International Parallel & Distributed Processing Symposium Workshops, 2020.
  • Naoki Ebata, Ryusuke Egawa, Yoko Isobe, Ryoji Takaki, and Hiroyuki Takizawa, “Automatically Avoiding Memory Access Conflicts on SX-Aurora TSUBASA,” 2020 IEEE International Parallel & Distributed Processing Symposium Workshops, 2020.
  • Ryusuke Egawa, Souya Fujimoto, Tsuyoshi Yamashita, Daisuke Sasaki, Yoko Isobe, Yoichi Shimomura, and Hiroyuki Takizawa, “Exploiting the Potentials of the Second Generation SX-Aurora TSUBASA,” The 11th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS’20), 2020.
  • Naoki Ebata, Yoko Isobe, Ryusuke Egawa, and Hiroyuki Takizawa, “Polymorphic Data Layout for SX-Aurora TSUBASA Vector Engines,” The Eighth International Conference on Computing and Networking (CANDAR), 2020.
  • Jiaheng Liu, Ryusuke Egawa, Mulya Agung, and Hiroyuki Takizawa, “A Conflict-Aware Capacity Control Mechanism for Last-Level Cache,” The Eighth International Conference on Computing and Networking Workshops (CANDARW), 2020.
  • Reo Furuhata, Minglu Zhao, Mulya Agung, Ryusuke Egawa, and Hiroyuki Takizawa, “Improving the accuracy in SpMV implementation selection with machine learning,” The Eighth International Conference on Computing and Networking Workshops (CANDARW), 2020.
  • Minglu Zhao, Reo Furuhata, Mulya Agung, Hiroyuki Takizawa, and Tomoya Soma, “Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection,” The IEEE BigData 2020, the third international conference on the Internet of Things Data Analytics (IoTDA), 2020.
  • Michael Ryan Zielewski, Mulya Agung, Ryusuke Egawa and Hiroyuki Takizawa, “Challenges in Solving Scheduling Problems with the D-Wave Quantum Annealer,” The ISC High Performance conference 2020 (Poster), 2020.
  • Yuta Sasaki, Michael Ryan Zielewski, Mulya Agung, Ryusuke Egawa and Hiroyuki Takizawa, “Quantum Compiler: Automatic Vectorization Assisted by Quantum Annealer,” The ISC High Performance conference 2020 (Poster),

特許

  • 岡部朋永,小林広明,菊川豪太,小松一彦(以上,東北大),鍬守直樹,撫佐昭裕,風間悠加,瀧川陽平,佐藤佳彦
    (以上,NEC),逆解析機能付きCFRP用MIシステム〔申請準備中)
  • 岡部朋永,小林広明,菊川豪太,小松一彦(以上,東北大),鍬守直樹,撫佐昭裕,風間悠加,瀧川陽平,佐藤佳彦
    (以上,NEC),成分探索リコメンド機能従来手法〔申請準備中)
  • 岡部朋永,小林広明,菊川豪太,小松一彦(以上,東北大),鍬守直樹,撫佐昭裕,風間悠加,瀧川陽平,佐藤佳彦
    (以上,NEC),同種材料から遠距離物質を提示〔申請準備中)
  • 岡部朋永,小林広明,菊川豪太,小松一彦(以上,東北大),鍬守直樹,撫佐昭裕,風間悠加,瀧川陽平,佐藤佳彦
    (以上,NEC),成分探索における、自動自己探索機能付きMIシステム自己ドリルダウン〔申請準備中)

書籍

  • Resch, M., Kovalenko, Y., Bez, W., Focht, E., Kobayashi, H. (Eds.), Sustained Simulation Performance 2018 and 2019, Reading, 234 pages, ISBN 978-3-030-39180-5, Springer Nature Switzerland AG, May, 2020. DOI 10.1007/978-3-030-39181-2
  • Hiroaki Kobayashi, R&D of a Quantum-Annealing Assisted Next Generation HPC Infrastructure and Its Killer Applications, Sustained Simulation Performance 2018 and 2019, pp.3-12, Reading, Springer Nature Switzerland AG, May, 2020.
  • Kazuhiko Komatsu and Hiroaki Kobayashi, “Performance Evaluation of SX-Aurora TSUBASA by Using Benchmark Programs,” Sustained Simulation Performance 2018 and 2019, pp.69-77 Reading, Springer Nature Switzerland AG, May,
    2020.
  • Shivanshu Kumar Singh, Kota Sakakura, Sourav Saha, Goji Goto, Raghunandan Mathur, Osamu Watanabe and Akihiro Musa, “Optimized COAWST for the Vector Supercomputer SX-ACE,” Sustained Simulation Performance 2018 and 2019,
    pp.79-91 Reading, Springer Nature Switzerland AG, May, 2020.
  • Tomoki Nakano, Mitsuo Yokokawa, Yusaku Yamamoto, and Takeshi Fukuya, “Affecting the Relaxation Parameter in the Multifrontal Method, “ Sustained Simulation Performance 2018 and 2019, pp.215-224 Reading, Springer Nature Switzerland AG, May, 2020.
  • Susumu Yanagisawa, Takeshi Yamashita, and Ryusuke Egawa, “Enhancement of the GW Space-Time Program Code for Accurate Prediction of the Electronic Properties of Organic Electronics Materials, Sustained Simulation Performance 2018 and 2019, pp.225-234 Reading, Springer Nature Switzerland AG, May, 2020.

学術講演・口頭発表

  • 撫佐昭裕,“大規模津波浸水被害推計シミュレーションのマルチプラットフォーム向け最適化手法の研究”, 学際大規模情報基盤共同利用・共同研究拠点 第12回シンポジウム,東京,7月,2020.
  • 塚田 竣介, 佐藤 雅之, 高屋敷 光, 小松 一彦, 小林 広明, “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,” In 並列/分散/協調処理に関する「福井」サマー・ワークショップ(SWoPP2020), July 2020.
  • Yoshiaki Abe, Freddie D. Witherden, Kazuhiko Komatsu, Brian C. Vermeire, Peter E. Vincent, and Kozo Fujii , “High-fidelity flow simulation around a low-pressure turbine blade and cross-platform implementation with PyFR,” Seventeenth International Conference on Flow Dynamics, October 2020.
  • 石塚歩, 山下毅, 江川隆輔, 滝沢寛之, 山本道, 風間聡, “ベイズ最適化による洪水シミュレーションコードの負荷分散自動調整” The 4-th cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG2020), 2020.
  • Mulya Agung, “A Parallel Job Scheduling Method to Effectively Use Shared Heterogeneous Systems for Urgent Computations” at the SC20 HPC for Urgent Decision Making (UrgentHPC) workshop, 2020.
  • Kohei Hijikata, Tomohiro Ueno, Ryusuke Egawa, Hiroyuki Takizawa, Kentaro Sano, “A Study on Task Offload from Vector
    Processors to FPGAs” Shingaku Giho (RECONF 2019-45), 2020.
  • 山下 毅, 森谷友映,佐々木 大輔,齊藤敦子,小野 敏, 大泉健治,滝沢寛之,”東北大学サイバーサイエンスセンタースーパーコンピュータAOBAの紹介“, 大学ICT推進協議会 2020年度年次大会, 2021年12月9日~11日.

解説・総説・報告

  • 撫佐昭裕,岸谷拓海,阿部孝志,佐藤佳彦,田野邊睦,鈴木崇之,村嶋陽一,佐藤雅之,小松一彦,伊達 進,越村俊一,小林広明, “リアルタイム津波浸水被害推計シミュレーションの性能評価,” SENAC Vol. 53, No. 2 (2020.4).
  • 山下 毅, 森谷友映,佐々木 大輔,齊藤敦子,小野 敏, 大泉健治,滝沢寛之,”東北大学サイバーサイエンスセンタースーパーコンピュータAOBAの紹介“, SENAC Vol. 54, No.1 (2021.1)

受賞

  • Eighth International Symposium on Computing and Networking (CANDAR’20) Best Paper Award, “Combinatorial Clustering
    based on an Externally-defined One-hot Constraint,”Masahito Kumagai, Kazuhiko Komatsu, Fumiyo Takano, Takuya Araki, Masayuki
    Sato, Hiroaki Kobayashi
  • HPC IN ASIA POSTER AWARD at International Supercomputing Conference (ISC20), Michael Ryan Zielewski, Mulya Agung,
    Ryusuke Egawa and Hiroyuki Takizawa, “Challenges in Solving Scheduling Problems with the D-Wave Quantum Annealer,” The ISC
    High Performance conference 2020, 2020.
  • Best Paper Award at International Workshop on Large-scale HPC Application Modernization, Reo Furuhata, Minglu Zhao, Mulya
    Agung, Ryusuke Egawa, and Hiroyuki Takizawa, “Improving the Accuracy in SpMV Implementation Selection with Machine
    Learning,” November 2020.
  • Ayumu Ishizuka, IEEE Computer Society Japan Chapter xSIG Young Researcher Award, “Automatic load balancing using Bayesian
    optimization for a flood simulation code,” July 2020
  • 石塚歩, 山下毅, 江川隆輔, 滝沢寛之, 山本道, 風間聡, “ベイズ最適化による洪水シミュレーションコードの負荷分散
    自動調整” The 4th cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG2020),
    2020.
  • 平田晃正, 山本佑佳, 江川隆輔, 小寺紗千子, 木幡 咲英理, 文部科学省 令和2年度科学技術分野の文部科学大臣表彰 科学技
    術省 理解増進部門 「個人に応じたリスク管理に基 づく熱中症予防普及啓発」(令和2年4月7日)

招待講演

  • Shintaro Momose, “NEC HPC Strategy”, ISC20 Vender Showdown, 2020 June, Frankfurt Germany
  • Shintaro Momose, “Application Performance on SX-Aurora TSUBASA and Product Roadmap”, NEC User Group (NUG), 2020
    September, Warsaw Poland
  • Hiroyuki Takizawa, “Early evaluation of the second-generation SX-Aurora TSUBASA,” NEC User Group Meeting, Online,
    September 24, 2020.
  • Hiroyuki Takizawa, “Operation start of the second-generation SX-Aurora TSUBASA,” NEC SC20 Aurora Forum Webinar Day 1,
    November 17, 2020.
  • 滝沢寛之, “スーパーコンピュータAOBAの始動,” 第20回PCクラスタシンポジウム「HPCシステム最前線」, December 14, 2020.
  • Hiroaki Kobayashi, “Performance Evaluation of SX-Aurora TSUBASA and Its Quantum Annealing-Assisted Application Design,”
  • NUG2020, On-Line, Warsaw, Poland, Sep. 24-25, 2020.
  • Hiroaki Kobayashi, “Performance Evaluation of SX-Aurora TSUBASA and Its Quantum Annealing-Assisted Application Design,”
    Russian Supercomputing days 2020, On-Line, Moscow, Russia, September 21-22, 2020.(基調講演)
  • 小林広明, “高性能計算基盤の開発とそのデータ科学・計算科学融合型キラーアプリ,” データ駆動科学オンラインセミナー「シミュレーション科学とデータ科学の融合」,東北大学,2020年7月3日.

報道等

  • 東北大学,NECプレスリリース,” 東北大学とNEC、スーパーコンピュータを活用して航空機用複合材料開発を加速する マテリアルズインテグレーションシステムの研究開発を開始”(2020年7月1日)
  • PC Watch, 「東北大、ベクトル型コンピュータ採用の新型スパコン「AOBA」を10月より運用開始」 September 29, 2020.
  • 大学ジャーナル, 「東北大学の新スパコンが10月始動、演算性能2.4倍に」October 1, 2020.
  • ASCII.jp, 「AMD EPYCプロセッサーが東北大学の新スパコン「AOBA」に採用」October 30, 2020.
  • 毎日新聞 (宮城版), 「瞬時に被災予測 新スパコン運用 東北大」 October 2, 2020.
  • 日本経済新聞 (電子版), 「異なる分野のプロとスパコンで社会実装を果たしたパーソナライズドサービスとは? ~熱中症リスク予測への挑戦~」, November 27, 2020.
  • リアルタイム津浪シミュレーションシステム関係で5件,
    • 日経XTECH(2/9), 読売新聞全国版(1面 2/22), 月刊子供の科学3月号,日経コンストラクション(3/8), NHKサイエンスゼロ(3/14)

イベント企画

  • 31st Workshop on Sustained Simulation Performance, 3/16-19, 2021, オンライン開催
    • サイバーサイエンスセンター・NEC・HLRSで共同開催
    • https://www.teraflop-workbench.de/htm/events/31thWorkshop.htm
  • 「実験家のためのデータ駆動科学」セミナー(東北大学知のフォーラム主催)の企画, 2020年7月3日
    • 「シミュレーション科学とデータ科学の融合」と題して,共同研究部門で取り組む研究成果の紹介
    • http://www.tfc.tohoku.ac.jp/online_event/2020dsw/03/
  • 実世界を最適化するための量子コンピューティングおよび量子に着想を得た計算手法, 2021.3.8
    • http://www.tfc.tohoku.ac.jp/special/qca/