Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment. - Satoshi Ohshima; Kenji Kise; Takahiro Katagiri; Toshitsugu Yuba (VECPAR, 2006)

OMPCUDA : OpenMP Execution Framework for CUDA Based on Omni OpenMP Compiler. - Satoshi Ohshima; Shoichi Hirasawa; Hiroki Honda (IWOMP, 2010)

SSG-AT: An Auto-tuning Method of Sparse Matrix-vector Multiplicataion for Semi-structured Grids - An Adaptation to OpenFOAM. - Satoshi Ito; Satoshi Ohshima; Takahiro Katagiri (MCSoC, 2012)

Control Formats for Unsymmetric and Symmetric Sparse Matrix-Vector Multiplications on OpenMP Implementations. - Takahiro Katagiri; Takao Sakurai; Mitsuyoshi Igai; Satoshi Ohshima; Hisayasu Kuroda; Ken Naono; Kengo Nakajima (VECPAR, 2012)

Implementation and Evaluation of 3D Finite Element Method Application for CUDA. - Satoshi Ohshima; Masae Hayashi; Takahiro Katagiri; Kengo Nakajima (VECPAR, 2012)

A Sparse Matrix Library with Automatic Selection of Iterative Solvers and Preconditioners. - Takao Sakurai; Takahiro Katagiri; Hisayasu Kuroda; Ken Naono; Mitsuyoshi Igai; Satoshi Ohshima (ICCS, 2013)

Implementation and Evaluation of an AMR Framework for FDM Applications. - Masaharu Matsumoto; Futoshi Mori; Satoshi Ohshima; Hideyuki Jitsumoto; Takahiro Katagiri; Kengo Nakajima (ICCS, 2014)

Auto-tuning of Computation Kernels from an FDM Code with ppOpen-AT. - Takahiro Katagiri; Satoshi Ohshima; Masaharu Matsumoto (MCSoC, 2014)

Performance Optimization of SpMV Using CRS Format by Considering OpenMP Scheduling on CPUs and MIC. - Satoshi Ohshima; Takahiro Katagiri; Masaharu Matsumoto (MCSoC, 2014)

Directive-Based Auto-Tuning for the Finite Difference Method on the Xeon Phi. - Takahiro Katagiri; Satoshi Ohshima; Masaharu Matsumoto (IPDPS Workshops, 2015)

Auto-Tuning of Hybrid MPI/OpenMP Execution with Code Selection by ppOpen-AT. - Takahiro Katagiri; Masaharu Matsumoto; Satoshi Ohshima (IPDPS Workshops, 2016)

Utilization and Expansion of ppOpen-AT for OpenACC. - Satoshi Ohshima; Takahiro Katagiri; Masaharu Matsumoto (IPDPS Workshops, 2016)

Auto-Tuning on NUMA and Many-Core Environments with an FDM Code. - Takahiro Katagiri; Satoshi Ohshima; Masaharu Matsumoto (IPDPS Workshops, 2017)

Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. - Ichitaro Yamazaki; Ahmad Abdelfattah; Akihiro Ida; Satoshi Ohshima; Stanimire Tomov; Rio Yokota; Jack J. Dongarra (IPDPS, 2018)

Optimization of Hierarchical Matrix Computation on GPU. - Satoshi Ohshima; Ichitaro Yamazaki; Akihiro Ida; Rio Yokota (SCFA, 2018)

A thread-level parallelization of pairwise additive potential and force calculations suitable for current many-core architectures. - Yoshimichi Andoh; Soichiro Suzuki; Satoshi Ohshima; Tatsuya Sakashita; Masao Ogino; Takahiro Katagiri; Noriyuki Yoshii; Susumu Okazaki (J. Supercomput., 2018)

Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core Environments. - Satoshi Ohshima; Soichiro Suzuki; Tatsuya Sakashita; Masao Ogino; Takahiro Katagiri; Yoshimichi Andoh (IPDPS Workshops, 2019)

Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-Matrix Arithmetic on GPU. - Satoshi Ohshima; Ichitaro Yamazaki; Akihiro Ida; Rio Yokota (MCSoC, 2019)

Scalable Direct-Iterative Hybrid Solver for Sparse Matrices on Multi-Core and Vector Architectures. - Kenji Ono; Toshihiro Kato; Satoshi Ohshima; Takeshi Nanri (HPC Asia, 2020)

Performance Evaluation of Accurate Matrix-Matrix Multiplication on GPU Using Sparse Matrix Multiplications. - Fumiya Ishiguro; Takahiro Katagiri; Satoshi Ohshima; Toru Nagai (CANDAR (Workshops), 2020)

An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL. - Naruya Kitai; Daisuke Takahashi; Franz Franchetti; Takahiro Katagiri; Satoshi Ohshima; Toru Nagai (IPDPS Workshops, 2021)

Parallelization of GKV benchmark using OpenACC. - Makoto Morishita; Satoshi Ohshima; Takahiro Katagiri; Toru Nagai (IPDPS Workshops, 2021)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Yohei Kuga; Ryo Nakamura; et al. (DASC/PiCom/CBDCom/CyberSciTech, 2022)

17th IEEE International Workshop on Automatic Performance Tuning (iWAPT2022). - Che-Rung Lee; Satoshi Ohshima (IPDPS Workshops, 2022)

Autotuning Power Consumption and Computation Accuracy using ppOpen-AT. - Shouhei Yamanashi; Hisashi Yashiro; Takahiro Katagiri; Toru Nagai; Satoshi Ohshima (MCSoC, 2022)

QR Factorization of Block Low-Rank Matrices on Multi-instance GPU. - Satoshi Ohshima; Akihiro Ida; Rio Yokota; Ichitaro Yamazaki (PDCAT, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - Toyotaro Suzumura; Akiyoshi Sugiki; Hiroyuki Takizawa; Akira Imakura; Hiroshi Nakamura; Kenjiro Taura; Tomohiro Kudoh; Toshihiro Hanawa; Yuji Sekiya; Hill Hiroki Kobayashi; Shin Matsushima; Yohei Kuga; et al. (CoRR, 2022)

Parallelization of Automatic Tuning for Hyperparameter Optimization of Pedestrian Route Prediction Applications using Machine Learning. - Sorataro Fujika; Yuga Yajima; Teruo Tanaka; Akihiro Fujii; Yuka Kato; Satoshi Ohshima; Takahiro Katagiri (HPC Asia, 2023)

Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models. - Shinya Hashinoki; Satoshi Ohshima; Takahiro Katagiri; Toru Nagai; Tetsuya Hoshino (IPDPS Workshops, 2023)

Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT. - Toma Sakurai; Satoshi Ohshima; Takahiro Katagiri; Toru Nagai (CoRR, 2023)

Adaptation of XAI to Auto-tuning for Numerical Libraries. - Shota Aoki; Takahiro Katagiri; Satoshi Ohshima; Masatoshi Kawai; Toru Nagai; Tetsuya Hoshino (MCSoC, 2024)

WaitIO-Hybrid: Communication for Coupling MPI Programs Among Heterogeneous Systems. - Shinji Sumimoto; Takashi Arakawa; Yoshio Sakaguchi; Hiroya Matsuba; Satoshi Ohshima; Hisashi Yashiro; Toshihiro Hanawa; Kengo Nakajima (PDCAT, 2024)

Xabclib:A Fully Auto-tuned Sparse Iterative Solver. - Takahiro Katagiri; Takao Sakurai; Mitsuyoshi Igai; Shoji Itoh; Satoshi Ohshima; Hisayasu Kuroda; Ken Naono; Kengo Nakajima (CoRR, 2024)

Accelerating Heterogeneous Coupling Computing with WaitIO Using RDMA. - Shinji Sumimoto; Takashi Arakawa; Yoshio Sakaguchi; Hiroya Matsuba; Satoshi Ohshima; Hisashi Yashiro; Toshihiro Hanawa; Kengo Nakajima (HPC Asia Workshops, 2025)

Large-Scale FMO-MP2 Calculations of the Spike Protein Droplet Model. - Hideo Doi; Tatsuya Nakano; Kota Sakakura; Kazuki Akisawa; Koji Okuwaki; Yoshinori Hirano; Eiji Yamamoto; Kenji Yasuoka; Satoshi Ohshima; Takahiro Katagiri; Yuji Mochizuki (J. Comput. Chem., 2025)