An Architecture of Stampi: MPI Library on a Cluster of Parallel Computers. - Toshiyuki Imamura; Yuichi Tsujita; Hiroshi Koide; Hiroshi Takemiya (PVM/MPI, 2000)

An Estimation of Complexity and Computational Costs for Vertical Block-Cyclic Distributed Parallel LU Factorization. - Toshiyuki Imamura (J. Supercomput., 2000)

Stampi-I/O: A Flexible Parallel-I/O Library for Heterogeneous Computing Environment. - Yuichi Tsujita; Toshiyuki Imamura; Hiroshi Takemiya; Nobuhiro Yamagishi (PVM/MPI, 2002)

Grid Computing Supporting System on ITBL Project. - Kenji Higuchi; Toshiyuki Imamura; Yoshio Suzuki; Futoshi Shimizu; Masahiko Machida; Takayuki Otani; Yukihiro Hasegawa; Nobuhiro Yamagishi; Kazuyuki Kimura; Tetsuo Aoyagi; Norihiro Nakajima; Masahiro Fukuda; et al. (ISHPC, 2003)

A Visual Resource Integration Environment for Distributed Applications on the ITBL System. - Toshiyuki Imamura; Nobuhiro Yamagishi; Hiroshi Takemiya; Yukihiro Hasegawa; Kenji Higuchi; Norihiro Nakajima (ISHPC, 2003)

MPI-2 Support in Heterogeneous Computing Environment Using an SCore Cluster System. - Yuichi Tsujita; Toshiyuki Imamura; Nobuhiro Yamagishi; Hiroshi Takemiya (ISPA, 2003)

16.14 TFLOPS Eigenvalue Solver on the Earth Simulator: Exact Diagonalization for Ultra Largescale Hamiltonian Matrix. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (ISHPC, 2005)

Automatic Tuning Technique Exploring Within the Hardware-Specific Constrained Parameters. - Toshiyuki Imamura; Ken Naono (LSSC, 2005)

An Evaluation Towards Automatically Tuned Eigensolvers. - Ken Naono; Toshiyuki Imamura (LSSC, 2005)

C-Stab: Cache Stabilizing Algorithm for a Numerical Library. - Toshiyuki Imamura (Parallel and Distributed Computing and Networks, 2005)

10TFLOPS Eigenvalue Solver for Strongly-Correlated Fermions on the Earth Simulator. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (Parallel and Distributed Computing and Networks, 2005)

16.447 TFlops and 159-Billion-dimensional Exact-diagonalization for Trapped Fermion-Hubbard Model on the Earth Simulator. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (SC, 2005)

Gordon Bell finalists I - High-performance computing for exact numerical approaches to quantum many-body problems on the earth simulator. - Susumu Yamada; Toshiyuki Imamura; Takuma Kano; Masahiko Machida (SC, 2006)

Recursive multi-factoring algorithm for MPI allreduce. - Toshiyuki Imamura (Parallel and Distributed Computing and Networks, 2007)

Narrow-band reduction approach of a DRSM eigensolver on a multicore-based cluster system. - Toshiyuki Imamura; Susumu Yamada; Masahiko Machida (PARCO, 2009)

High-Performance Quantum Simulation for Coupled Josephson Junctions on the Earth Simulator: a Challenge To the Schrödinger Equation On 2564 Grids. - Toshiyuki Imamura; Takuma Kano; Susumu Yamada; Masahiko Okumura; Masahiko Machida (Int. J. High Perform. Comput. Appl., 2010)

Parallelization design on multi-core platforms in density matrix renormalization group toward 2-D quantum strongly-correlated systems. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (SC, 2011)

Abstract: Communication Overlap Techniques for Improved Strong Scaling of Gyrokinetic Eulerian Code beyond 100k Cores on the K-Computer. - Yasuhiro Idomura; Motoki Nakata; Susumu Yamada; Masahiko Machida; Toshiyuki Imamura; Tomohiko Watanabe; Masanori Nunami; Hikaru Inoue; Shigenobu Tsutsumi; Ikuo Miyoshi; Naoyuki Shida (SC Companion, 2012)

Poster: Communication Overlap Techniques for Improved Strong Scaling of Gyrokinetic Eulerian Code beyond 100k Cores on the K-Computer. - Yasuhiro Idomura; Motoki Nakata; Susumu Yamada; Masahiko Machida; Toshiyuki Imamura; Tomohiko Watanabe; Masanori Nunami; Hikaru Inoue; Shigenobu Tsutsumi; Ikuo Miyoshi; Naoyuki Shida (SC Companion, 2012)

Abstract: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver. - Toshiyuki Imamura; Susumu Yamada; Masahiko Machida (SC Companion, 2012)

Poster: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver. - Toshiyuki Imamura; Susumu Yamada; Masahiko Machida (SC Companion, 2012)

A High Performance SYMV Kernel on a Fermi-core GPU. - Toshiyuki Imamura; Susumu Yamada; Masahiko Machida (VECPAR, 2012)

Proper orthogonal decomposition based parallel compression for visualizing big data on the K computer. - Chongke Bi; Kenji Ono; Kwan-Liu Ma; Haiyuan Wu; Toshiyuki Imamura (LDAV, 2013)

Parallel Computing Design for Exact Diagonalization Scheme on Multi-band Hubbard Cluster Models. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (PARCO, 2013)

Eigen-G: GPU-Based Eigenvalue Solver for Real-Symmetric Dense Matrices. - Toshiyuki Imamura; Susumu Yamada; Masahiko Machida (PPAM (1), 2013)

A Study of Parallel Data Compression Using Proper Orthogonal Decomposition on the K Computer. - Chongke Bi; Kenji Ono; Kwan-Liu Ma; Haiyuan Wu; Toshiyuki Imamura (EGPGV@EuroVis, 2014)

Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection. - Takeshi Fukaya; Toshiyuki Imamura; Yusaku Yamamoto (VECPAR, 2014)

Communication-overlap techniques for improved strong scaling of gyrokinetic Eulerian code beyond 100k cores on the K-computer. - Yasuhiro Idomura; Motoki Nakata; Susumu Yamada; Masahiko Machida; Toshiyuki Imamura; Tomohiko Watanabe; Masanori Nunami; Hikaru Inoue; Shigenobu Tsutsumi; Ikuo Miyoshi; Naoyuki Shida (Int. J. High Perform. Comput. Appl., 2014)

Implementation of d-Spline-based incremental performance parameter estimation method with ppOpen-AT. - Teruo Tanaka; Ryo Otsuka; Akihiro Fujii; Takahiro Katagiri; Toshiyuki Imamura (Sci. Program., 2014)

Performance Evaluation of the Eigen Exa Eigensolver on Oakleaf-FX: Tridiagonalization Versus Pentadiagonalization. - Takeshi Fukaya; Toshiyuki Imamura (IPDPS Workshops, 2015)

CAHTR: Communication-Avoiding Householder TRidiagonalization. - Toshiyuki Imamura; Takeshi Fukaya; Yusuke Hirota; Susumu Yamada; Masahiko Machida (PARCO, 2015)

High Performance Eigenvalue Solver in Exact-diagonalization Method for Hubbard Model on CUDA GPU. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (PARCO, 2015)

Fast Implementation of General Matrix-Vector Multiplication (GEMV) on Kepler GPUs. - Daichi Mukunoki; Toshiyuki Imamura; Daisuke Takahashi (PDP, 2015)

Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer. - Yosuke Kumagai; Akihiro Fujii; Teruo Tanaka; Yusuke Hirota; Takeshi Fukaya; Toshiyuki Imamura; Reiji Suda (PPAM (1), 2015)

Reduced-Precision Floating-Point Formats on GPUs for High Performance and Energy Efficient Computation. - Daichi Mukunoki; Toshiyuki Imamura (CLUSTER, 2016)

Automatic Thread-Block Size Adjustment for Memory-Bound BLAS Kernels on GPUs. - Daichi Mukunoki; Toshiyuki Imamura; Daisuke Takahashi (MCSoC, 2016)

Left-Preconditioned Communication-Avoiding Conjugate Gradient Methods for Multiphase CFD Simulations on the K Computer. - Akie Mayumi; Yasuhiro Idomura; Takuya Ina; Susumu Yamada; Toshiyuki Imamura (ScalA@SC, 2016)

Parallel implementation of 3D FFT with volumetric decomposition schemes for efficient molecular dynamics simulations. - Jaewoon Jung; Chigusa Kobayashi; Toshiyuki Imamura; Yuji Sugita (Comput. Phys. Commun., 2016)

An energy-efficient FPGA-based matrix multiplier. - Yiyu Tan; Toshiyuki Imamura (ICECS, 2017)

Quadruple-Precision BLAS Using Bailey's Arithmetic with FMA Instruction: Its Performance and Applications. - Susumu Yamada; Toshiyuki Imamura; Takuya Ina; Narimasa Sasa; Yasuhiro Idomura; Masahiko Machida (IPDPS Workshops, 2017)

Design Towards Modern High Performance Numerical LA Library Enabling Heterogeneity and Flexible Data Formats. - Toshiyuki Imamura; Daichi Mukunoki; Yusuke Hirota; Susumu Yamada; Masahiko Machida (PARCO, 2017)

Communication Avoiding Neumann Expansion Preconditioner for LOBPCG Method: Convergence Property of Exact Diagonalization Method for Hubbard Model. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (PARCO, 2017)

Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems. - Yusuke Hirota; Toshiyuki Imamura (PPAM (1), 2017)

Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer. - Daichi Mukunoki; Toshiyuki Imamura (PPAM (1), 2017)

Application of a communication-avoiding generalized minimal residual method to a gyrokinetic five dimensional eulerian code on many core platforms. - Yasuhiro Idomura; Takuya Ina; Akie Mayumi; Susumu Yamada; Kazuya Matsumoto; Yuuichi Asahi; Toshiyuki Imamura (ScalA@SC, 2017)

Performance Evaluation of a Toolkit for Sparse Tensor Decomposition. - Yiyu Tan; Toshiyuki Imamura (HPDC (Posters/Doctoral Consortium), 2018)

Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. - Daichi Mukunoki; Toshiyuki Imamura (ICCS (3), 2018)

A Case Study on Modeling the Performance of Dense Matrix Computation: Tridiagonalization in the EigenExa Eigensolver on the K Computer. - Takeshi Fukaya; Toshiyuki Imamura; Yusaku Yamamoto (IPDPS Workshops, 2018)

Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. - Haruka Yamada; Akira Imakura; Toshiyuki Imamura; Tetsuya Sakurai (IPDPS Workshops, 2018)

Application of a Preconditioned Chebyshev Basis Communication-Avoiding Conjugate Gradient Method to a Multiphase Thermal-Hydraulic CFD Code. - Yasuhiro Idomura; Takuya Ina; Akie Mayumi; Susumu Yamada; Toshiyuki Imamura (SCFA, 2018)

High Performance LOBPCG Method for Solving Multiple Eigenvalues of Hubbard Model: Efficiency of Communication Avoiding Neumann Expansion Preconditioner. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (SCFA, 2018)

Cache-efficient implementation and batching of tridiagonalization on manycore CPUs. - Shuhei Kudo; Toshiyuki Imamura (HPC Asia, 2019)

Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes. - Toshiyuki Imamura; Masaaki Aoki; Mitsuo Yokokawa (PARCO, 2019)

Design of an FPGA-Based Matrix Multiplier with Task Parallelism. - Yiyu Tan; Toshiyuki Imamura; Daichi Mukunoki (PARCO, 2019)

High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU. - Susumu Yamada; Masahiko Machida; Toshiyuki Imamura (PARCO, 2019)

Prompt Report on Exa-Scale HPL-AI Benchmark. - Shuhei Kudo; Keigo Nitadori; Takuya Ina; Toshiyuki Imamura (CLUSTER, 2020)

An FPGA-based Sound Field Rendering System. - Yiyu Tan; Toshiyuki Imamura (CLUSTER, 2020)

Acceleration of fusion plasma turbulence simulations using the mixed-precision communication-avoiding krylov method. - Yasuhiro Idomura; Takuya Ina; Yussuf Ali; Toshiyuki Imamura (SC, 2020)

A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations. - Hisashi Yashiro; Koji Terasaki; Yuta Kawai; Shuhei Kudo; Takemasa Miyoshi; Toshiyuki Imamura; Kazuo Minami; Hikaru Inoue; Tatsuo Nishiki; Takayuki Saji; Masaki Satoh; Hirofumi Tomita (SC, 2020)

Implementation and Numerical Techniques for One EFlop/s HPL-AI Benchmark on Fugaku. - Shuhei Kudo; Keigo Nitadori; Takuya Ina; Toshiyuki Imamura (ScalA@SC, 2020)

DGEMM Using Tensor Cores, and Its Accurate and Reproducible Versions. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Toshiyuki Imamura (ISC, 2020)

Can We Avoid Rounding-Error Estimation in HPC Codes and Still Get Trustworthy Results? - Fabienne Jézéquel; Stef Graillat; Daichi Mukunoki; Toshiyuki Imamura; Roman Iakymchuk (VSTTE, 2020)

Error Analysis of the Cholesky QR-Based Block Orthogonalization Process for the One-Sided Block Jacobi SVD Algorithm. - Shuhei Kudo; Yusaku Yamamoto; Toshiyuki Imamura (Comput. Informatics, 2020)

White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. - 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; et al. (CoRR, 2020)

A Rapid Euclidean Norm Calculation Algorithm that Reduces Overflow and Underflow. - Takeyuki Harayama; Shuhei Kudo; Daichi Mukunoki; Toshiyuki Imamura; Daisuke Takahashi (ICCSA (1), 2021)

Accurate Matrix Multiplication on Binary128 Format Accelerated by Ozaki Scheme. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Toshiyuki Imamura (ICPP, 2021)

Task Scheduling Strategies for Batched Basic Linear Algebra Subprograms on Many-core CPUs. - Daichi Mukunoki; Yusuke Hirota; Toshiyuki Imamura (MCSoC, 2021)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - 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; et al. (MLHPC@SC, 2021)

Iterative methods with mixed-precision preconditioning for ill-conditioned linear systems in multiphase CFD simulations. - Takuya Ina; Yasuhiro Idomura; Toshiyuki Imamura; Susumu Yamashita; Naoyuki Onodera (ScalA@SC, 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - 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; et al. (CoRR, 2021)

Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Toshiyuki Imamura (PPAM (1), 2022)

GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform Kalman Filter. - Yuta Hasegawa; Toshiyuki Imamura; Takuya Ina; Naoyuki Onodera; Yuuichi Asahi; Yasuhiro Idomura (ScalAH@SC, 2022)

High Performance Parallel LOBPCG Method for Large Hamiltonian Derived from Hubbard Model on Multi-GPU Systems. - Susumu Yamada; Toshiyuki Imamura; Masahiko Machida (SCFA, 2022)

A new data conversion method for mixed precision Krylov solvers with FP16/BF16 Jacobi preconditioners. - Takuya Ina; Yasuhiro Idomura; Toshiyuki Imamura; Naoyuki Onodera (HPC Asia, 2023)

Sparse Matrix-Vector Multiplication with Reduced-Precision Memory Accessor. - Daichi Mukunoki; Masatoshi Kawai; Toshiyuki Imamura (MCSoC, 2023)

High-Performance Eigensolver Combining EigenExa and Iterative Refinement. - Yuki Uchino; Toshiyuki Imamura (SC Workshops, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)

Iterative refinement for an eigenpair subset of a real symmetric matrix. - Takeshi Terao; Toshiyuki Imamura; Katsuhisa Ozaki (JSIAM Lett., 2024)

Performance enhancement of the Ozaki Scheme on integer matrix multiplication unit. - Yuki Uchino; Katsuhisa Ozaki; Toshiyuki Imamura (Int. J. High Perform. Comput. Appl., 2025)

ML-Based Optimum Number of CUDA Streams for the GPU Implementation of the Tridiagonal Partition Method. - Milena Veneva; Toshiyuki Imamura (CoRR, 2025)

Ozaki Scheme II: A GEMM-oriented emulation of floating-point matrix multiplication using an integer modular technique. - Katsuhisa Ozaki; Yuki Uchino; Toshiyuki Imamura (CoRR, 2025)

High-Performance and Power-Efficient Emulation of Matrix Multiplication using INT8 Matrix Engines. - Yuki Uchino; Katsuhisa Ozaki; Toshiyuki Imamura (CoRR, 2025)