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ORCIDToshiyuki Imamura
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2020 – today
- 2025
[i6]Milena Veneva, Toshiyuki Imamura:
ML-Based Optimum Number of CUDA Streams for the GPU Implementation of the Tridiagonal Partition Method. CoRR abs/2501.05938 (2025)- 2024
- [c68]Yuki Uchino, Toshiyuki Imamura:
High-Performance Eigensolver Combining EigenExa and Iterative Refinement. SC Workshops 2024: 1703-1712 - [i5]Yuki Uchino, Katsuhisa Ozaki, Toshiyuki Imamura:
Performance Enhancement of the Ozaki Scheme on Integer Matrix Multiplication Unit. CoRR abs/2409.13313 (2024) - [i4]Ahmad Abdelfattah, Willow Ahrens, Hartwig Anzt, Chris Armstrong, Ben Brock, Aydin Buluç, Federico Busato, Terry Cojean, Timothy A. Davis, Jim Demmel, Grace Dinh, David Gardener, Jan Fiala, Mark Gates, Azzam Haider, Toshiyuki Imamura, Pedro Valero-Lara, José E. Moreira, Xiaoye Sherry Li, Piotr Luszczek, Max Melichenko, Jose Moeira, Yvan Mokwinski, Riley Murray, Spencer Patty, Slaven Peles, Tobias Ribizel, E. Jason Riedy, Siva Rajamanickam, Piyush Sao, Manu Shantharam, Keita Teranishi, Stan Tomov, Yu-Hsiang Tsai, Heiko K. Weichelt:
Interface for Sparse Linear Algebra Operations. CoRR abs/2411.13259 (2024) - 2023
- [c67]Takuya Ina
, Yasuhiro Idomura, Toshiyuki Imamura, Naoyuki Onodera:
A new data conversion method for mixed precision Krylov solvers with FP16/BF16 Jacobi preconditioners. HPC Asia 2023: 29-34 - [c66]Daichi Mukunoki, Masatoshi Kawai, Toshiyuki Imamura:
Sparse Matrix-Vector Multiplication with Reduced-Precision Memory Accessor. MCSoC 2023: 608-615 - [i3]Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina, Naoyuki Onodera, Yuuichi Asahi, Yasuhiro Idomura:
GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform Kalman Filter. CoRR abs/2308.03310 (2023) - 2022
- [c65]Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura:
Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors. PPAM (1) 2022: 40-54 - [c64]Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina, Naoyuki Onodera, Yuuichi Asahi, Yasuhiro Idomura:
GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform Kalman Filter. ScalAH@SC 2022: 10-17 - [c63]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
High Performance Parallel LOBPCG Method for Large Hamiltonian Derived from Hubbard Model on Multi-GPU Systems. SCFA 2022: 1-19 - 2021
- [c62]Takeyuki Harayama, Shuhei Kudo, Daichi Mukunoki, Toshiyuki Imamura, Daisuke Takahashi:
A Rapid Euclidean Norm Calculation Algorithm that Reduces Overflow and Underflow. ICCSA (1) 2021: 95-110 - [c61]Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura:
Accurate Matrix Multiplication on Binary128 Format Accelerated by Ozaki Scheme. ICPP 2021: 78:1-78:11 - [c60]Daichi Mukunoki, Yusuke Hirota, Toshiyuki Imamura:
Task Scheduling Strategies for Batched Basic Linear Algebra Subprograms on Many-core CPUs. MCSoC 2021: 234-241 - [c59]Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin:
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC 2021: 33-45 - [c58]Takuya Ina, Yasuhiro Idomura, Toshiyuki Imamura, Susumu Yamashita, Naoyuki Onodera:
Iterative methods with mixed-precision preconditioning for ill-conditioned linear systems in multiphase CFD simulations. ScalA@SC 2021: 1-8 - [i2]Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin:
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR abs/2110.11466 (2021) - 2020
- [j6]Shuhei Kudo, Yusaku Yamamoto, Toshiyuki Imamura:
Error Analysis of the Cholesky QR-Based Block Orthogonalization Process for the One-Sided Block Jacobi SVD Algorithm. Comput. Informatics 39(6) (2020) - [c57]Yiyu Tan, Toshiyuki Imamura:
An FPGA-based Sound Field Rendering System. CLUSTER 2020: 414-415 - [c56]Shuhei Kudo, Keigo Nitadori, Takuya Ina, Toshiyuki Imamura:
Prompt Report on Exa-Scale HPL-AI Benchmark. CLUSTER 2020: 418-419 - [c55]Hisashi Yashiro, Koji Terasaki, Yuta Kawai, Shuhei Kudo, Takemasa Miyoshi, Toshiyuki Imamura, Kazuo Minami, Hikaru Inoue, Tatsuo Nishiki, Takayuki Saji, Masaki Satoh, Hirofumi Tomita:
A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations. SC 2020: 1 - [c54]Yasuhiro Idomura, Takuya Ina, Yussuf Ali, Toshiyuki Imamura:
Acceleration of fusion plasma turbulence simulations using the mixed-precision communication-avoiding krylov method. SC 2020: 93 - [c53]Shuhei Kudo, Keigo Nitadori, Takuya Ina, Toshiyuki Imamura:
Implementation and Numerical Techniques for One EFlop/s HPL-AI Benchmark on Fugaku. ScalA@SC 2020: 69-76 - [c52]Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura:
DGEMM Using Tensor Cores, and Its Accurate and Reproducible Versions. ISC 2020: 230-248 - [c51]Fabienne Jézéquel, Stef Graillat, Daichi Mukunoki, Toshiyuki Imamura, Roman Iakymchuk:
Can We Avoid Rounding-Error Estimation in HPC Codes and Still Get Trustworthy Results? VSTTE 2020: 163-177 - [i1]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:
White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. CoRR abs/2004.04628 (2020)
2010 – 2019
- 2019
- [c50]Shuhei Kudo, Toshiyuki Imamura:
Cache-efficient implementation and batching of tridiagonalization on manycore CPUs. HPC Asia 2019: 71-80 - [c49]Susumu Yamada, Masahiko Machida, Toshiyuki Imamura:
High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU. PARCO 2019: 105-113 - [c48]Toshiyuki Imamura, Masaaki Aoki, Mitsuo Yokokawa:
Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes. PARCO 2019: 169-178 - [c47]Yiyu Tan, Toshiyuki Imamura, Daichi Mukunoki:
Design of an FPGA-Based Matrix Multiplier with Task Parallelism. PARCO 2019: 241-250 - 2018
- [c46]Yiyu Tan, Toshiyuki Imamura:
Performance Evaluation of a Toolkit for Sparse Tensor Decomposition. HPDC (Posters/Doctoral Consortium) 2018: 5-6 - [c45]Daichi Mukunoki, Toshiyuki Imamura:
Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. ICCS (3) 2018: 853-858 - [c44]Haruka Yamada, Akira Imakura, Toshiyuki Imamura, Tetsuya Sakurai:
Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. IPDPS Workshops 2018: 957-966 - [c43]Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto:
A Case Study on Modeling the Performance of Dense Matrix Computation: Tridiagonalization in the EigenExa Eigensolver on the K Computer. IPDPS Workshops 2018: 1113-1122 - [c42]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
High Performance LOBPCG Method for Solving Multiple Eigenvalues of Hubbard Model: Efficiency of Communication Avoiding Neumann Expansion Preconditioner. SCFA 2018: 243-256 - [c41]Yasuhiro Idomura, Takuya Ina, Akie Mayumi, Susumu Yamada, Toshiyuki Imamura:
Application of a Preconditioned Chebyshev Basis Communication-Avoiding Conjugate Gradient Method to a Multiphase Thermal-Hydraulic CFD Code. SCFA 2018: 257-273 - 2017
- [c40]Yiyu Tan, Toshiyuki Imamura:
An energy-efficient FPGA-based matrix multiplier. ICECS 2017: 514-517 - [c39]Susumu Yamada, Toshiyuki Imamura, Takuya Ina, Narimasa Sasa, Yasuhiro Idomura, Masahiko Machida:
Quadruple-Precision BLAS Using Bailey's Arithmetic with FMA Instruction: Its Performance and Applications. IPDPS Workshops 2017: 1418-1425 - [c38]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
Communication Avoiding Neumann Expansion Preconditioner for LOBPCG Method: Convergence Property of Exact Diagonalization Method for Hubbard Model. PARCO 2017: 27-36 - [c37]Toshiyuki Imamura, Daichi Mukunoki, Yusuke Hirota, Susumu Yamada, Masahiko Machida:
Design Towards Modern High Performance Numerical LA Library Enabling Heterogeneity and Flexible Data Formats. PARCO 2017: 97-106 - [c36]Daichi Mukunoki, Toshiyuki Imamura:
Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer. PPAM (1) 2017: 348-358 - [c35]Yusuke Hirota, Toshiyuki Imamura:
Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems. PPAM (1) 2017: 623-633 - [c34]Yasuhiro Idomura, Takuya Ina, Akie Mayumi, Susumu Yamada, Kazuya Matsumoto, Yuuichi Asahi, Toshiyuki Imamura:
Application of a communication-avoiding generalized minimal residual method to a gyrokinetic five dimensional eulerian code on many core platforms. ScalA@SC 2017: 7:1-7:8 - 2016
- [j5]Jaewoon Jung, Chigusa Kobayashi, Toshiyuki Imamura, Yuji Sugita:
Parallel implementation of 3D FFT with volumetric decomposition schemes for efficient molecular dynamics simulations. Comput. Phys. Commun. 200: 57-65 (2016) - [c33]Daichi Mukunoki, Toshiyuki Imamura:
Reduced-Precision Floating-Point Formats on GPUs for High Performance and Energy Efficient Computation. CLUSTER 2016: 144-145 - [c32]Daichi Mukunoki, Toshiyuki Imamura, Daisuke Takahashi:
Automatic Thread-Block Size Adjustment for Memory-Bound BLAS Kernels on GPUs. MCSoC 2016: 377-384 - [c31]Akie Mayumi, Yasuhiro Idomura, Takuya Ina, Susumu Yamada, Toshiyuki Imamura:
Left-Preconditioned Communication-Avoiding Conjugate Gradient Methods for Multiphase CFD Simulations on the K Computer. ScalA@SC 2016: 17-24 - 2015
- [c30]Takeshi Fukaya, Toshiyuki Imamura:
Performance Evaluation of the Eigen Exa Eigensolver on Oakleaf-FX: Tridiagonalization Versus Pentadiagonalization. IPDPS Workshops 2015: 960-969 - [c29]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
High Performance Eigenvalue Solver in Exact-diagonalization Method for Hubbard Model on CUDA GPU. PARCO 2015: 361-369 - [c28]Toshiyuki Imamura, Takeshi Fukaya, Yusuke Hirota, Susumu Yamada, Masahiko Machida:
CAHTR: Communication-Avoiding Householder TRidiagonalization. PARCO 2015: 381-390 - [c27]Daichi Mukunoki, Toshiyuki Imamura, Daisuke Takahashi:
Fast Implementation of General Matrix-Vector Multiplication (GEMV) on Kepler GPUs. PDP 2015: 642-650 - [c26]Yosuke Kumagai, Akihiro Fujii, Teruo Tanaka, Yusuke Hirota, Takeshi Fukaya, Toshiyuki Imamura, Reiji Suda:
Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer. PPAM (1) 2015: 74-85 - 2014
- [j4]Yasuhiro Idomura, Motoki Nakata, Susumu Yamada, Masahiko Machida, Toshiyuki Imamura, Tomohiko Watanabe, Masanori Nunami, Hikaru Inoue, Shigenobu Tsutsumi, Ikuo Miyoshi, Naoyuki Shida:
Communication-overlap techniques for improved strong scaling of gyrokinetic Eulerian code beyond 100k cores on the K-computer. Int. J. High Perform. Comput. Appl. 28(1): 73-86 (2014) - [j3]Teruo Tanaka, Ryo Otsuka, Akihiro Fujii, Takahiro Katagiri, Toshiyuki Imamura:
Implementation of d-Spline-based incremental performance parameter estimation method with ppOpen-AT. Sci. Program. 22(4): 299-307 (2014) - [c25]Chongke Bi, Kenji Ono, Kwan-Liu Ma, Haiyuan Wu, Toshiyuki Imamura:
A Study of Parallel Data Compression Using Proper Orthogonal Decomposition on the K Computer. EGPGV@EuroVis 2014: 1-8 - [c24]Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto:
Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection. VECPAR 2014: 269-283 - 2013
- [c23]Chongke Bi, Kenji Ono, Kwan-Liu Ma, Haiyuan Wu, Toshiyuki Imamura:
Proper orthogonal decomposition based parallel compression for visualizing big data on the K computer. LDAV 2013: 121-122 - [c22]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
Parallel Computing Design for Exact Diagonalization Scheme on Multi-band Hubbard Cluster Models. PARCO 2013: 427-436 - [c21]Toshiyuki Imamura, Susumu Yamada, Masahiko Machida:
Eigen-G: GPU-Based Eigenvalue Solver for Real-Symmetric Dense Matrices. PPAM (1) 2013: 673-682 - 2012
- [c20]Yasuhiro Idomura, Motoki Nakata, Susumu Yamada, Masahiko Machida, Toshiyuki Imamura, Tomohiko Watanabe, Masanori Nunami, Hikaru Inoue, Shigenobu Tsutsumi, Ikuo Miyoshi, Naoyuki Shida:
Abstract: Communication Overlap Techniques for Improved Strong Scaling of Gyrokinetic Eulerian Code beyond 100k Cores on the K-Computer. SC Companion 2012: 1373-1374 - [c19]Yasuhiro Idomura, Motoki Nakata, Susumu Yamada, Masahiko Machida, Toshiyuki Imamura, Tomohiko Watanabe, Masanori Nunami, Hikaru Inoue, Shigenobu Tsutsumi, Ikuo Miyoshi, Naoyuki Shida:
Poster: Communication Overlap Techniques for Improved Strong Scaling of Gyrokinetic Eulerian Code beyond 100k Cores on the K-Computer. SC Companion 2012: 1375-1376 - [c18]Toshiyuki Imamura, Susumu Yamada, Masahiko Machida:
Abstract: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver. SC Companion 2012: 1454-1455 - [c17]Toshiyuki Imamura, Susumu Yamada, Masahiko Machida:
Poster: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver. SC Companion 2012: 1456 - [c16]Toshiyuki Imamura, Susumu Yamada, Masahiko Machida:
A High Performance SYMV Kernel on a Fermi-core GPU. VECPAR 2012: 59-71 - 2011
- [c15]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
Parallelization design on multi-core platforms in density matrix renormalization group toward 2-D quantum strongly-correlated systems. SC 2011: 62:1-62:10 - 2010
- [j2]Toshiyuki Imamura, Takuma Kano, Susumu Yamada, Masahiko Okumura, Masahiko Machida:
High-Performance Quantum Simulation for Coupled Josephson Junctions on the Earth Simulator: a Challenge To the Schrödinger Equation On 2564 Grids. Int. J. High Perform. Comput. Appl. 24(3): 319-334 (2010)
2000 – 2009
- 2009
- [c14]Toshiyuki Imamura, Susumu Yamada, Masahiko Machida:
Narrow-band reduction approach of a DRSM eigensolver on a multicore-based cluster system. PARCO 2009: 91-98 - 2007
- [c13]Toshiyuki Imamura:
Recursive multi-factoring algorithm for MPI allreduce. Parallel and Distributed Computing and Networks 2007: 266-271 - 2006
- [c12]Susumu Yamada, Toshiyuki Imamura, Takuma Kano, Masahiko Machida:
Gordon Bell finalists I - High-performance computing for exact numerical approaches to quantum many-body problems on the earth simulator. SC 2006: 47 - 2005
- [c11]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
16.14 TFLOPS Eigenvalue Solver on the Earth Simulator: Exact Diagonalization for Ultra Largescale Hamiltonian Matrix. ISHPC 2005: 402-413 - [c10]Toshiyuki Imamura, Ken Naono:
Automatic Tuning Technique Exploring Within the Hardware-Specific Constrained Parameters. LSSC 2005: 413-421 - [c9]Ken Naono, Toshiyuki Imamura:
An Evaluation Towards Automatically Tuned Eigensolvers. LSSC 2005: 422-429 - [c8]Toshiyuki Imamura:
C-Stab: Cache Stabilizing Algorithm for a Numerical Library. Parallel and Distributed Computing and Networks 2005: 240-245 - [c7]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
10TFLOPS Eigenvalue Solver for Strongly-Correlated Fermions on the Earth Simulator. Parallel and Distributed Computing and Networks 2005: 638-643 - [c6]Susumu Yamada, Toshiyuki Imamura, Masahiko Machida:
16.447 TFlops and 159-Billion-dimensional Exact-diagonalization for Trapped Fermion-Hubbard Model on the Earth Simulator. SC 2005: 44 - 2003
- [c5]Kenji Higuchi, Toshiyuki Imamura, Yoshio Suzuki, Futoshi Shimizu, Masahiko Machida, Takayuki Otani, Yukihiro Hasegawa, Nobuhiro Yamagishi, Kazuyuki Kimura, Tetsuo Aoyagi, Norihiro Nakajima, Masahiro Fukuda, Genki Yagawa:
Grid Computing Supporting System on ITBL Project. ISHPC 2003: 245-257 - [c4]Toshiyuki Imamura, Nobuhiro Yamagishi, Hiroshi Takemiya, Yukihiro Hasegawa, Kenji Higuchi, Norihiro Nakajima:
A Visual Resource Integration Environment for Distributed Applications on the ITBL System. ISHPC 2003: 258-268 - [c3]Yuichi Tsujita, Toshiyuki Imamura, Nobuhiro Yamagishi, Hiroshi Takemiya:
MPI-2 Support in Heterogeneous Computing Environment Using an SCore Cluster System. ISPA 2003: 139-144 - 2002
- [c2]Yuichi Tsujita, Toshiyuki Imamura, Hiroshi Takemiya, Nobuhiro Yamagishi:
Stampi-I/O: A Flexible Parallel-I/O Library for Heterogeneous Computing Environment. PVM/MPI 2002: 288-295 - 2000
- [j1]Toshiyuki Imamura:
An Estimation of Complexity and Computational Costs for Vertical Block-Cyclic Distributed Parallel LU Factorization. J. Supercomput. 15(1): 95-110 (2000) - [c1]Toshiyuki Imamura, Yuichi Tsujita, Hiroshi Koide, Hiroshi Takemiya:
An Architecture of Stampi: MPI Library on a Cluster of Parallel Computers. PVM/MPI 2000: 200-207
Coauthor Index
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