Yokota Rio 横田理央

Researcher Number	20760573
Other IDs
Affiliation (Current)	2025: 東京科学大学, 総合研究院, 教授 2025: 国立研究開発法人理化学研究所, 計算科学研究センター, チームプリンシパル
Affiliation (based on the past Project Information) *help	2025: 東京科学大学, 総合研究院, 教授 2024: 東京科学大学, 学術国際情報センター, 教授 2021 – 2024: 東京工業大学, 学術国際情報センター, 教授 2015 – 2021: 東京工業大学, 学術国際情報センター, 准教授
Review Section/Research Field	Principal Investigator Medium-sized Section 60:Information science, computer engineering, and related fields / Basic Section 60090:High performance computing-related / High performance computing Except Principal Investigator Medium-sized Section 61:Human informatics and related fields / Basic Section 60090:High performance computing-related / High performance computing / Basic Section 19010:Fluid engineering-related / Sections That Are Subject to Joint Review: Basic Section60040:Computer system-related , Basic Section60090:High performance computing-related / Basic Section 60040:Computer system-related / Basic Section 61030:Intelligent informatics-related / Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords	Principal Investigator H行列 / 高性能計算 / テンソルコア / 階層的低ランク近似法 / LU分解 / GPU / 精度保証 / 電子状態計算 / 固有値問題 / 線形代数ライブラリ … More / 分散深層学習 / ２次最適化 / クロネッカー因子分解 / 継続学習 / 2次最適化 / 階層的低ランク近似 / 密行列の高速解法 / 行列分解 / 深層学習 / 機械学習向けハードウェア / Tensor Core / FPGA / 低精度演算 / TensorCore / 機械学習向けプロセッサ / 前処理 / 反復法 / 数値解法 / アルゴリズム / ハイパフォーマンス・コンピューティング / FMM … More Except Principal Investigator 高性能計算 / 並列計算 / 行列近似 / 混合精度演算 / 数値線形代数 / アルゴリズム / H行列法 / 低ランク / 近似計算 / 継続事前学習 / 少量実データ / 人工生成データ / AI基盤モデル / 混相流 / ２相乱流 / 超流動ヘリウム / 数値流体力学 / 量子乱流 / マルチモーダル認識 / 音声認識 / 画像認識 / 深層学習 / 低ランク近似 / active learning / reinforcement learning / lifelong learning / adaptation / Bayesian principles / Continual Learning / Deep Learning / deep learning / continual learning / Lifelong learning / Bayesian deep learning / Continual learning / アクセラレータ / 線形ソルバ / 計算工学 / 計算科学 / 低ランク行列近似 / ＧＰＵ / Ｈ行列法 / GPU / メニーコア / 低ランク行列 / H行列 / ハイパフォーマンスコンピューティング / ライブラリ / ランタイム / フレームワーク / 可搬性 / 高生産性 / 粒子法 Less

次世代計算機の潜在能力を引き出すための科学技術ソフトウェアの刷新Principal Investigator
- Principal Investigator
  
  横田理央
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  Institute of Science Tokyo
低ランク構造行列法の適用範囲拡大と多様な計算アーキテクチャの活用
- Principal Investigator
  
  伊田明弘
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60090:High performance computing-related
  Basic Section 60040:Computer system-related
  Sections That Are Subject to Joint Review: Basic Section60040:Computer system-related , Basic Section60090:High performance computing-related
- Research Institution
  Japan Agency for Marine-Earth Science and Technology
人工生成データ及び少量実データの継続事前学習による限定資源下でのAI基盤モデル構築
- Principal Investigator
  
  片岡裕雄
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Fund for the Promotion of Joint International Research (International Collaborative Research)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Next-generation high-performance linear solver for future computational science and engineering
- Principal Investigator
  
  岩下武史
- Project Period (FY)
  2023 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  Kyoto University
  Hokkaido University
深層生成モデルを活用した構成的なパターン認識・理解
- Principal Investigator
  
  篠田浩一
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  Institute of Science Tokyo
Functional improvement of mixing promotion in fluid equipment by elucidating the universal statistical law of two-phase turbulence
- Principal Investigator
  
  小林宏充
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 19010:Fluid engineering-related
- Research Institution
  Keio University
Fast and accurate eigenvalue calculations by hierarchical low-rank approximation and its application to large-scale electronic structure calculationsPrincipal Investigator
- Principal Investigator
  
  横田理央
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  Institute of Science Tokyo
Construction of numerical linear algebra based on lattice H-matrices and its high-performance implementation on modern architectures
- Principal Investigator
  
  Ida Akihiro
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  Japan Agency for Marine-Earth Science and Technology
Application of Unconventional Linear Algebra Techniques to Continuous Learning in Supergiant Neural NetworksPrincipal Investigator
- Principal Investigator
  
  Yokota Rio
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Challenging Research (Pioneering)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  Tokyo Institute of Technology
Life-Long Deep Learning using Bayesian Principles
- Principal Investigator
  
  Khan Emtiyaz
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Institute of Physical and Chemical Research
Linear Solvers for Machine Learning HardwarePrincipal Investigator
- Principal Investigator
  
  Yokota Rio
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60090:High performance computing-related
- Research Institution
  Tokyo Institute of Technology
Enhancement of H-matrix library and optimization for next generation supercomputers
- Principal Investigator
  
  Ida Akihiro
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  High performance computing
- Research Institution
  The University of Tokyo
性能と生産性を両立するエクサスケールコンピュータ向け階層型粒子法フレームワーク
- Principal Investigator
  
  丸山直也
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  High performance computing
- Research Institution
  Institute of Physical and Chemical Research
Large scale iterative solvers by combining FMM and H-matricesPrincipal Investigator
- Principal Investigator
  
  Yokota Rio
- Project Period (FY)
  2016 – 2017
- Research Category
  
  Grant-in-Aid for Young Scientists (A)
- Research Field
  
  High performance computing
- Research Institution
  Tokyo Institute of Technology
エクサスケーラブルな大規模連立一次方程式の前処理としてのFMMの代数学的拡張Principal Investigator
- Principal Investigator
  
  横田理央
- Project Period (FY)
  2015
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  High performance computing
- Research Institution
  Tokyo Institute of Technology

All 2024 2023 2022 2020 2019 2018 2017 2016 2015

All Journal Article Presentation

[Journal Article] DGEMM on Integer Matrix Multiplication Unit2024
- Author(s)
  Hiroyuki Ootomo, Katsuhisa Ozaki, Rio Yokota
- Journal Title
  
  International Journal of High Performance Computing Applications
  
  Volume: N/A Pages: 1-10
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20624
[Journal Article] An inherently parallel H2-ULV factorization for solving dense linear systems on GPUs2024
- Author(s)
  Ma Qianxiang、Yokota Rio
- Journal Title
  
  The International Journal of High Performance Computing Applications
  
  Volume: 1 Issue: 4 Pages: 1-10
- DOI
  10.1177/10943420241242021
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H03447, KAKENHI-PROJECT-23K24854
[Journal Article] An Inherently Parallel H^2-ULV Factorization for Solving Dense Linear Systems on GPUs2024
- Author(s)
  Qianxiang Ma, Rio Yokota
- Journal Title
  
  International Journal of High Performance Computing Applications
  
  Volume: N/A Pages: 1-10
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20624
[Journal Article] CUDA Fortran＋MIG＋UVMを用いたBLR行列QR分解の大規模高速化2023
- Author(s)
  大島聡史, 伊田明弘, 河合直聡, 横田理央, Ichitaro Yamazaki
- Journal Title
  
  情報処理学会研究報告
  
  Volume: 2023-HPC-190 Pages: 1-8
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03447
[Journal Article] QR Factorization of?Block Low-Rank Matrices on Multi-instance GPU2023
- Author(s)
  Ohshima Satoshi、Ida Akihiro、Yokota Rio、Yamazaki Ichitaro
- Journal Title
  
  In Proceedings of the 23rd International Conference on Parallel and Distributed Computing, Applications and Technologies
  
  Volume: 1 Pages: 359-369
- DOI
  10.1007/978-3-031-29927-8_28
- ISBN
  9783031299261, 9783031299278
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H03447
[Journal Article] Computing the k-th Eigenvalue of Symmetric H2-Matrices2023
- Author(s)
  Apriansyah M. Ridwan、Yokota Rio
- Journal Title
  
  International Conference on Parallel Processing (ICPP)
  
  Volume: N/A Pages: 1-10
- DOI
  10.1145/3605573.3605607
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20624, KAKENHI-PROJECT-21H03447, KAKENHI-PROJECT-23K24854
[Journal Article] Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors2023
- Author(s)
  Deshmukh Sameer、Yokota Rio、Bosilca George
- Journal Title
  
  ACM Transactions on Mathematical Software
  
  Volume: 49 Issue: 3 Pages: 1-29
- DOI
  10.1145/3595178
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Journal Article] O(N) distributed direct factorization of structured dense matrices using runtime systems.2023
- Author(s)
  Deshmukh Sameer、Yokota Rio、Bosilca George、Ma Qinxiang
- Journal Title
  
  International Conference on Parallel Processing (ICPP)
  
  Volume: N/A Pages: 1-10
- DOI
  10.1145/3605573.3605606
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624, KAKENHI-PROJECT-21H03447, KAKENHI-PROJECT-23K24854
[Journal Article] Mixed-Precision Random Projection for RandNLA on Tensor Cores2023
- Author(s)
  Ootomo Hiroyuki、Yokota Rio
- Journal Title
  
  Platform for Advanced Scientific Computing (PASC)
  
  Volume: N/A Pages: 1-10
- DOI
  10.1145/3592979.3593413
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20624
[Journal Article] Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors2023
- Author(s)
  Sameer Deshmukh, Rio Yokota, George Bosilca
- Journal Title
  
  ACM Transactions on Mathematical Software
  
  Volume: 未定
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20624
[Journal Article] Parallel QR Factorization of Block Low-Rank Matrices2022
- Author(s)
  Muhammad Ridwan Apriansyah, Rio Yokota
- Journal Title
  
  ACM Transactions on Mathematical Software
  
  Volume: 48(3) Issue: 3 Pages: 1-28
- DOI
  10.1145/3538647
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20624, KAKENHI-PROJECT-23K24854
[Journal Article] 対称ブロック低ランク行列の精度保証付き固有値問題解法2022
- Author(s)
  伊田明弘、荻田武史、横田理央
- Journal Title
  
  日本応用数理学会（2022年度年会）
  
  Volume: 1 Pages: 1-2
- Data Source
  KAKENHI-PROJECT-21H03447
[Journal Article] Recovering Single Precision Accuracy from Tensor Cores While Surpassing the FP32 Theoretical Peak Performance2022
- Author(s)
  Hiroyuki Ootomo, Rio Yokota
- Journal Title
  
  The International Journal of High Performance Computing Application
  
  Volume: 1 Pages: 1-1
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K20624
[Journal Article] Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis2020
- Author(s)
  Rise Ooi, Takeshi Fukaya, Takeshi Iwashita, Akihiro Ida, Rio Yokota
- Journal Title
  
  International Conference on High Performance Computing in Asia-Pacific Redion
  
  Volume: なし Pages: 92-101
- DOI
  10.1145/3368474.3368479
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H01749, KAKENHI-PROJECT-19H05662
[Journal Article] QR Factorization of Block Low-rank Matrices with Weak Admissibility Condition2019
- Author(s)
  Akihiro Ida, Hiroshi Nakashima, Tasuku Hiraishi, Ichitaro Yamazaki, Rio Yokota, Takeshi Iwashita
- Journal Title
  
  Journal of Information Processing
  
  Volume: 27 Issue: 0 Pages: 831-839
- DOI
  10.2197/ipsjjip.27.831
- NAID
  130007762323
- ISSN
  1882-6652
- Language
  English
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19962, KAKENHI-PROJECT-17H01749, KAKENHI-PROJECT-18H03248, KAKENHI-PROJECT-19H04122
[Journal Article] Extreme Scale FMM-Accelerated Boundary Integral Equation Solver for Wave Scattering2019
- Author(s)
  Mustafa Abduljabbar, Mohammed Al Farhan, Noha Al-Harthi, Rui Chen, Rio Yokota, Hakan Bagci, David Keyes
- Journal Title
  
  SIAM Journal on Scientific Computing
  
  Volume: 印刷中
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Journal Article] Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-matrix Arithmetic on GPU2019
- Author(s)
  Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota
- Journal Title
  
  Auto-Tuning for Multicore and GPU (ATMG) In conjunction with the IEEE MCSoC-19
  
  Volume: なし Pages: 9-16
- DOI
  10.1109/mcsoc.2019.00009
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H01749, KAKENHI-PROJECT-18K19782
[Journal Article] Extreme Scale FMM-Accelerated Boundary Integral Equation Solver for Wave Scattering2019
- Author(s)
  Mustafa AbdulJabbar, Mohammed Al Farhan, Noha Al-Harthi, Rui Chen, Rio Yokota, Hakan Bagci, David Keyes
- Journal Title
  
  SIAM Journal on Scientific Computing
  
  Volume: 4(3) Issue: 3 Pages: C245-C268
- DOI
  10.1137/18m1173599
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749, KAKENHI-PROJECT-18H03248
[Journal Article] Distributed Memory Lattice H-matrix Factorization2019
- Author(s)
  Ichitaro Yamazaki, Akihiro Ida, Rio Yokota and Jack Dongarra
- Journal Title
  
  The International Journal of High Performance Computing Applications
  
  Volume: 33(5) Issue: 5 Pages: 1046-1063
- DOI
  10.1177/1094342019861139
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19962, KAKENHI-PROJECT-17H01749, KAKENHI-PROJECT-18H03248
[Journal Article] Highly Productive, High-Performance Application Frameworks for Post-Petascale Computing2018
- Author(s)
  N. Maruyama, T. Aoki, K. Taura, R. Yokota, M. Wahib, M. Matsuda, K. Fukuda, T. Shimokawabe, N. Onodera, M. Muller, S. Iwasaki
- Journal Title
  
  Advanced Software Technologies for Post-Peta Scale Computing
  
  Volume: none Pages: 77-98
- DOI
  10.1007/978-981-13-1924-2_5
- ISBN
  9789811319235, 9789811319242
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H03248
[Journal Article] Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters2018
- Author(s)
  Yamazaki Ichitaro、Abdelfattah Ahmad、Ida Akihiro、Ohshima Satoshi、Tomov Stanimire、Yokota Rio、Dongarra Jack
- Journal Title
  
  32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2018)
  
  Volume: － Pages: 930-939
- DOI
  10.1109/ipdps.2018.00102
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Journal Article] Optimization of Hierarchical Matrix Computation on GPU2018
- Author(s)
  Ohshima Satoshi、Yamazaki Ichitaro、Ida Akihiro、Yokota Rio
- Journal Title
  
  Asian Conference on Supercomputing Frontiers
  
  Volume: なし Pages: 274-292
- DOI
  10.1007/978-3-319-69953-0_16
- ISBN
  9783319699523, 9783319699530
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Journal Article] Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU clusters2018
- Author(s)
  Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack Dongarra
- Journal Title
  
  32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2018)
  
  Volume: 印刷中
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Journal Article] Fast Multipole Preconditioners for Sparse Matrices Arising from Elliptic Equations2017
- Author(s)
  H. Ibeid, R. Yokota, J. Pestana, D. Keyes
- Journal Title
  
  Computing and Visualization in Science
  
  Volume: 印刷中
- NAID
  120006582641
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Journal Article] Fast multipole preconditioners for sparse matrices arising from elliptic equations2017
- Author(s)
  Ibeid Huda、Yokota Rio、Pestana Jennifer、Keyes David
- Journal Title
  
  Computing and Visualization in Science
  
  Volume: 18 Issue: 6 Pages: 213-229
- DOI
  10.1007/s00791-017-0287-5
- NAID
  120006582641
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Journal Article] Tapas: An Implicitly Parallel Programming Framework for Hierarchical N-Body Algorithms2016
- Author(s)
  Keisuke Fukuda, Motohiko Matsuda, Naoya Maruyama, Rio Yokota, Kenjiro Taura, and Satoshi Matsuoka
- Journal Title
  
  2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS)
  
  Volume: - Pages: 1100-1109
- DOI
  10.1109/icpads.2016.0145
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-16H02827
[Journal Article] Fast Multipole Method as a Matrix-Free Hierarchical Low-Rank Approximation2016
- Author(s)
  R. Yokota, H. Ibeid, D. Keyes
- Journal Title
  
  Lecture Notes in Computational Science and Engineering
  
  Volume: N/A
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06196
[Journal Article] Multi-level Restricted Maximum Likelihood Covariance Estimation and Kriging for Large Non-gridded Spatial Datasets2016
- Author(s)
  J. E. Castrillon-Candas, M. G. Genton, R. Yokota
- Journal Title
  
  Spatial Statistics
  
  Volume: 18 Pages: 105-124
- DOI
  10.1016/j.spasta.2015.10.006
- NAID
  120006582459
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Journal Article] 大規模境界要素法解析における分散並列FMMの通信最適化2016
- Author(s)
  横田理央
- Journal Title
  
  シミュレーション
  
  Volume: 35 Pages: 147-153
- NAID
  120006582538
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-16H05859
[Journal Article] A Performance Model for the Communication in Fast Multipole Methods on HPC Platforms2016
- Author(s)
  H. Ibeid, R. Yokota, D. Keyes
- Journal Title
  
  International Journal of High Performance Computing Applications
  
  Volume: 30 Issue: 4 Pages: 423-437
- DOI
  10.1177/1094342016634819
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Journal Article] FMM と H^2(HSS) 行列のトレードオフについて2016
- Author(s)
  横田理央
- Journal Title
  
  計算工学
  
  Volume: 21 Pages: 3498-3501
- NAID
  120006582545
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] 一万計算コア超時代のGPUに向けたプログラム最適化と自動チューニングを考える2023
- Author(s)
  大島聡史、伊田明弘、横田理央、Yamazaki Ichitaro
- Organizer
  第15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（ATTA2023）
- Data Source
  KAKENHI-PROJECT-21H03447
[Presentation] Vortex-filament bundle induced by normal-fluid turbulence in turbulent superfluid helium-42023
- Author(s)
  Satoshi Yui, Hiromichi Kobayashi, Makoto Tsubota, Tomokazu Saito, Rio Yokota
- Organizer
  The 2023 International Symposium on Quantum Fluids and Solids (QFS2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K22674
[Presentation] Two-way coupled simulation of quantum turbulence and normal-fluid turbulence in superfluid helium-42023
- Author(s)
  Hiromichi Kobayashi, Satoshi Yui, Makoto Tsubota, Tomokazu Saito, Rio Yokota
- Organizer
  The 76th Annual Meeting of the APS Division of Fluid Dynamics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K22674
[Presentation] Computing the k-th Eigenvalue of Symmetric H2-Matrices2023
- Author(s)
  Apriansyah M. Ridwan、Yokota Rio
- Organizer
  ICPP 2023: 52nd International Conference on Parallel Processing
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24854
[Presentation] Parallel QR Factorization of Block Low-Rank Matrices2023
- Author(s)
  Muhammad Ridwan Apriansyah, Rio Yokota
- Organizer
  SIAM Conference on Computational Science and Engineering (CSE)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] O(N) distributed direct factorization of structured dense matrices using runtime systems.2023
- Author(s)
  Deshmukh Sameer、Yokota Rio、Bosilca George、Ma Qinxiang
- Organizer
  ICPP 2023: 52nd International Conference on Parallel Processing
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24854
[Presentation] O(N) Factorization of Dense Matrices on GPUs Without Trailing Submatrix Dependencies2023
- Author(s)
  Qianxiang Ma, Rio Yokota
- Organizer
  SIAM Conference on Computational Science and Engineering (CSE)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] O(N) distributed direct factorization of structured dense matrices using runtime systems.2023
- Author(s)
  Deshmukh Sameer、Yokota Rio、Bosilca George、Ma Qinxiang
- Organizer
  International Conference on Parallel Processing (ICPP)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] Two-phase flow of quantum turbulence and normal-fluid turbulence in superfluid helium-42023
- Author(s)
  Hiromichi Kobayashi, Satoshi Yui, Makoto Tsubota, and Rio Yokota
- Organizer
  The 14th International ERCOFTAC symposium on engineering, turbulence, modelling and measurements (ETMM14)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K22674
[Presentation] Computing the k-th Eigenvalue of Symmetric H2-Matrices2023
- Author(s)
  Apriansyah M. Ridwan、Yokota Rio
- Organizer
  International Conference on Parallel Processing (ICPP)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] Mixed-Precision Random Projection for RandNLA on Tensor Cores2023
- Author(s)
  Ootomo Hiroyuki、Yokota Rio
- Organizer
  Platform for Advanced Scientific Computing (PASC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] 超流動ヘリウム4の量子乱流：常流体乱流による渦糸バンドルの形成2023
- Author(s)
  湯井悟志、小林宏充、坪田誠、齋藤智和、横田理央
- Organizer
  日本物理学会 2023年秋季大会
- Data Source
  KAKENHI-PROJECT-23K22674
[Presentation] Mixed-Precision Random Projection for RandNLA on Tensor Cores2023
- Author(s)
  Hiroyuki Ootomo, Rio Yokota
- Organizer
  Platform for Advanced Scientific Computing (PASC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] 超流動4Heにおける量子乱流と常流体乱流の2流体ダイナミクス2022
- Author(s)
  小林宏充、湯井悟志、坪田誠、横田理央
- Organizer
  流体力学会年会2022
- Data Source
  KAKENHI-PROJECT-23K22674
[Presentation] Vision Transformerにおけるバッチサイズの汎化性能への影響2022
- Author(s)
  中村秋海，横田理央
- Organizer
  第84回情報処理学会全国大会
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] 深層学習における2次最適化の汎化性能の検証2022
- Author(s)
  石井央，横田理央
- Organizer
  第84回情報処理学会全国大会
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] Scalable Linear Time Dense Direct Solver for 3-D Problems Without Trailing Sub-Matrix Dependencies2022
- Author(s)
  Qianxiang Ma, Sameer Deshmukh, Rio Yokota
- Organizer
  The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] QR Factorization of Block Low-Rank Matrices on Multi-Instance GPU2022
- Author(s)
  Satoshi Ohshima, Akihiro Ida, Rio Yokota and Ichitaro Yamazaki
- Organizer
  The 23rd International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT’22)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20624
[Presentation] BLR-QR on GPU：マルチインスタンスGPUを用いた多数の小密行列計算の高速化2022
- Author(s)
  大島聡史，伊田明弘，横田理央，Yamazaki Ichitaro
- Organizer
  第14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（ATTA2022）
- Data Source
  KAKENHI-PROJECT-21H03447
[Presentation] Distributed Memory Task-Based Block Low Rank Direct Solver2020
- Author(s)
  Sameer Deshmukh, Rio Yokota
- Organizer
  HPC Asia 2020 (poster)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Numerical Linear Algebra Based on Lattice H-Matrices2020
- Author(s)
  Akihiro Ida, Ichitaro Yamazaki, Rio Yokota, Satoshi Ohshima, Tasuku Hiraishi, Takeshi Iwashita, Tetsuya Hoshino, and Toshihiro Hanawa
- Organizer
  International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis2020
- Author(s)
  Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota
- Organizer
  HPC Asia 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] QR Decomposition of Block Low-Rank Matrices2020
- Author(s)
  Muhammad Ridwan Apriansyah, Rio Yokota
- Organizer
  HPC Asia 2020 (poster)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Numerical Linear Algebra Based on Lattice H-Matrices2020
- Author(s)
  Akihiro Ida, Ichitaro Yamazaki, Rio Yokota, Satoshi Ohshima, Tasuku Hiraishi, Takeshi Iwashita, Tetsuya Hoshino, Toshihiro Hanawa
- Organizer
  International Conference on High Performance Computing in Asia-Pacific Redion (HPC Asia 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] Distributed Memory Task-Based Block Low Rank Direct Solver2020
- Author(s)
  Sameer Deshmukh, Rio Yokota
- Organizer
  ISC High Performance 2020 (Research Poster)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Randomized SVD on TensorCores2020
- Author(s)
  Hiroyuki Ootomo, Rio Yokota
- Organizer
  ISC High Performance 2020, (Research Poster)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Distributed Memory Task-Based Block Low Rank Direct Solver2019
- Author(s)
  Sameer Deshmukh, Rio Yokota
- Organizer
  HPC Asia 2020 (poster)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Distributed Memory Lattice H-Matrix Factorization2019
- Author(s)
  Ichitaro Yamazaki, Akihiro Ida, Rio Yokota, and Jack Dongarra
- Organizer
  SIAM Conference on Computational Science and Engineering 2019(SIAM CSE 19)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] GPUによる階層型行列計算法の高速化に向けた多数の小密行列ベクトル積計算の最適化2019
- Author(s)
  大島聡史, Ichitaro Yamazaki, 伊田明弘, 横田理央
- Organizer
  日本応用数理学会2019年度年会
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] TSQR on TensorCores2019
- Author(s)
  Hiroyuki Ootomo, Rio Yokota
- Organizer
  The International Conference for High Performance Computing, Networking, Storage, and Analysis (best poster candidate)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Optimization of Numerous Small Dense-Matrix Vector Multiplications in H-matrix Arithmetic on GPU2019
- Author(s)
  Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota
- Organizer
  Auto-Tuning for Multicore and GPU (ATMG) In conjunction with the IEEE MCSoC-19
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] QR Decomposition of Block Low-Rank Matrices2019
- Author(s)
  Muhammad Ridwan Apriansyah, Rio Yokota
- Organizer
  HPC Asia 2020 (poster)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Tensorコアを用いたBatched QR分解2019
- Author(s)
  大友広幸, 横田理央
- Organizer
  第81回情報処理学会全国大会
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Runtime System for GPU-based Hierarchical LU factorization2019
- Author(s)
  Qianxing Ma, Rio Yokota
- Organizer
  The International Conference for High Performance Computing, Networking, Storage, and Analysis (poster)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Tensorコアを用いたTSQR2019
- Author(s)
  大友広幸, 横田理央
- Organizer
  日本応用数理学会年会
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU clusters2018
- Author(s)
  Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack Dongarra
- Organizer
  32nd IEEE International Parallel & Distributed Processing Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Accelerating Hierarchical-Matrix Based Linear Solver on a GPU Cluster2018
- Author(s)
  Ichitaro Yamazaki, Satoshi Ohshima, Akihiro Ida, Rio Yokota, Jack Dongarra
- Organizer
  SIAM Conference on Parallel Processing for Scientific Computing 2018(SIAM PP 18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] Accelerating Convolutional Neural Networks Using Low Precision Arithmetic2018
- Author(s)
  Hiroki Naganuma, Rio Yokota
- Organizer
  HPC Asia
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU clusters2018
- Author(s)
  Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack Dongarra
- Organizer
  32nd IEEE International Parallel & Distributed Processing Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Optimization of Hierarchical Matrix Computation on GPU2018
- Author(s)
  Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota
- Organizer
  SC Asia
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] 階層型行列計算におけるソフトウェア自動チューニング2018
- Author(s)
  大島聡史、山崎市太郎、伊田明弘、横田理央
- Organizer
  第23回計算工学会
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] More Efficient Structures of H-matrices2018
- Author(s)
  Akihiro Ida, Ichitaro Yamazaki, Rio Yokota, Satoshi Ohshima, Tetsuya Hoshino, Tasuku Hiraishi and Takeshi Iwashita
- Organizer
  The HPC symposium Computational Science at Scale (CoSaS18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] Can we use Hierarchical Low-Rank Approximation for Deep Learning?2018
- Author(s)
  Rio Yokota
- Organizer
  HPC Saudi
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Optimization of Hierarchical Matrix Computation on GPU2018
- Author(s)
  Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota
- Organizer
  SC Asia
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] Optimization of hierarchical matrix computation on GPU - accelerating many small matrix calculation2018
- Author(s)
  Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota
- Organizer
  Sapporo Summer HPC Seminar 2018
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] Energy Conserving Fast Multipole Methods for the Calculation of Long-range Interactions2018
- Author(s)
  Rio Yokota
- Organizer
  Mathematics in Action: Modeling and analysis in molecular biology and electrophysiology
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H03248
[Presentation] 階層型行列計算のGPU向け最適化2017
- Author(s)
  大島聡史, 山崎市太郎, 伊田明弘, 横田理央
- Organizer
  日本応用数理学会 2017年度年会
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] Performance Evaluation of Computation and Communication Kernels of the Fast Multipole Method on Intel Manycore Architecture2017
- Author(s)
  Mustafa AbdulJabbar, Mohammed Al Farhan, Rio Yokota, David Keyes
- Organizer
  3rd International European Conference on Parallel and Distributed Computing
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Energy Conservation of Fast Multipole Methods in Classical Molecular Dynamics Simulations2017
- Author(s)
  R. Yokota
- Organizer
  7th AICS International Symposium
- Place of Presentation
  神戸
- Year and Date
  2017-02-24
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Compute-Memory Tradeoff in Hierarchical Low-Rank Approximation Methods2017
- Author(s)
  Rio Yokota
- Organizer
  SIAM Conference on Computational Science and Engineering
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] 低ランク近似行列によるCNNにおける畳み込み演算の最適化2017
- Author(s)
  本山義史，遠藤敏夫，松岡聡，横田理央，福田圭祐
- Organizer
  第158回ハイパフォーマンスコンピューティング研究発表会
- Place of Presentation
  熱海
- Year and Date
  2017-03-08
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Performance Evaluation of Hierarchical Matrix Computation on Various Modern Architectures2017
- Author(s)
  Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota
- Organizer
  SIAM Conference on Parallel Processing for Scientific Computing 2018(SIAM PP 18)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] Hierarchical Low-Rank Approximations at Extreme Scale2017
- Author(s)
  Rio Yokota
- Organizer
  32nd International Conference, ISC High Performance
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] GPUクラスタ上における階層型行列計算の最適化2017
- Author(s)
  大島聡史, 山崎市太郎, 伊田明弘, 横田理央
- Organizer
  SWoPP秋田2017
- Data Source
  KAKENHI-PROJECT-17H01749
[Presentation] GPUクラスタ上における階層型行列計算の最適化2017
- Author(s)
  大島聡史, 山崎市太郎, 伊田明弘, 横田理央
- Organizer
  Summer United Workshops on Parallel, Distributed and Cooperative Processing
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Compute-Memory Tradeoff in Hierarchical Low-Rank Approximation Methods2017
- Author(s)
  R. Yokota
- Organizer
  SIAM Conference on Computational Science and Engineering
- Place of Presentation
  Atlanta, USA
- Year and Date
  2017-02-27
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] 低ランク近似を用いた深層学習の行列積の高速化2017
- Author(s)
  関谷翠，大沢和樹，長沼大樹，横田理央
- Organizer
  第158回ハイパフォーマンスコンピューティング研究発表会
- Place of Presentation
  熱海
- Year and Date
  2017-03-08
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Energy Conservation of Fast Multipole Methods in Classical Molecular Dynamics Simulations2017
- Author(s)
  Rio Yokota
- Organizer
  7th AICS International Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Communication Reducing Algorithms for Distributed Heirarchical N-Body Methods2017
- Author(s)
  Mustafa AbdulJabbar, George Markomanolis, Huda Ibeid, Rio Yokota, David Keyes
- Organizer
  32nd International Conference, ISC High Performance
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Fast Multipole Preconditioner for Direct Numerical Simulation of Flows Past An Airfoil2016
- Author(s)
  H. Ibeid, R. Yokota, D. Keyes
- Organizer
  SIAM Conference on Parallel Processing for Scientific Computing
- Place of Presentation
  Paris, France
- Year and Date
  2016-04-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06196
[Presentation] Tapas: An Implicitly Parallel Programming Framework For Hierarchical N-Body Algorithms2016
- Author(s)
  Keisuke Fukuda, Motohiko Matsuda, Naoya Maruyama, Rio Yokota, Kenjiro Taura, and Satoshi Matsuoka
- Organizer
  ACM/IEEE SC16 (Posters)
- Place of Presentation
  Salt Lake City, USA
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H02827
[Presentation] Tapas: An Implicitly Parallel ProgrammingFramework For Hierarchical N-body Algorithms2016
- Author(s)
  K. Fukuda, M. Matsuda, N. Maruyama, R. Yokota, K. Taura, S. Matsuoka
- Organizer
  The 22nd IEEE International Conference on Parallel And Distributed Systems, The 22nd IEEE International Conference on Parallel And Distributed Systems
- Place of Presentation
  Wuhan, China
- Year and Date
  2016-12-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Fast Multipole Method を用いた多種アーキテクチャ向けスーパーコンピュータ用ライブラリの開発と分子・流体シミュレーションでの評価2016
- Author(s)
  横田理央
- Organizer
  学際大規模情報基盤共同利用・共同研究拠点第８回シンポジウム
- Place of Presentation
  品川
- Year and Date
  2016-07-14
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Improving Data Locality of Fast Multipole Methods2016
- Author(s)
  R. Yokota
- Organizer
  Third Workshop on Programming Abstractions for Data Locality
- Place of Presentation
  神戸
- Year and Date
  2016-10-24
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] A Matrix-Free Preconditioner for Elliptic Solvers Based on the Fast Multipole Method2016
- Author(s)
  H. Ibeid, R. Yokota, D. Keyes
- Organizer
  SIAM Conference on Parallel Processing for Scientific Computing
- Place of Presentation
  Paris, France
- Year and Date
  2016-04-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] FMMの性能の可搬性2016
- Author(s)
  横田理央
- Organizer
  第２１回計算工学講演会
- Place of Presentation
  新潟
- Year and Date
  2016-05-31
- Data Source
  KAKENHI-PROJECT-16H05859
[Presentation] Comparison of FMM and HSS at Large Scale2015
- Author(s)
  R. Yokota, D. Keyes
- Organizer
  SIAM Conference on Applied Linear Algebra
- Place of Presentation
  Atlanta, USA
- Year and Date
  2015-10-26
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06196

1. Ida Akihiro (80742121)

# of Collaborated Projects: 8 results

# of Collaborated Products: 27 results
2. 岩下武史 (30324685)

# of Collaborated Projects: 5 results

# of Collaborated Products: 3 results
3. 大島聡史 (40570081)

# of Collaborated Projects: 5 results

# of Collaborated Products: 22 results
4. 平石拓 (60528222)

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# of Collaborated Products: 0 results
6. Khan Emtiyaz (30858022)

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7. 星野哲也 (40775946)

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8. 深谷猛 (30633846)

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9. 丸山直也 (60532801)

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31. Li Xiaoye S.

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32. Keyes David E.

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# of Collaborated Products: 6 results

Yokota Rio 横田 理央

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次世代計算機の潜在能力を引き出すための科学技術ソフトウェアの刷新Principal Investigator

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Fast and accurate eigenvalue calculations by hierarchical low-rank approximation and its application to large-scale electronic structure calculationsPrincipal Investigator

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Application of Unconventional Linear Algebra Techniques to Continuous Learning in Supergiant Neural NetworksPrincipal Investigator

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Linear Solvers for Machine Learning HardwarePrincipal Investigator

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Large scale iterative solvers by combining FMM and H-matricesPrincipal Investigator

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エクサスケーラブルな大規模連立一次方程式の前処理としてのFMMの代数学的拡張Principal Investigator

Yokota Rio 横田理央