Satoshi Ohshima

According to our database, Satoshi Ohshima authored at least 30 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT.

Toma Sakurai, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai

CoRR, 2023

Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models.

Shinya Hashinoki, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai, Tetsuya Hoshino

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

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

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2023

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, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi

CoRR, 2022

QR Factorization of Block Low-Rank Matrices on Multi-instance GPU.

Satoshi Ohshima, Akihiro Ida, Rio Yokota, Ichitaro Yamazaki

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022

Autotuning Power Consumption and Computation Accuracy using ppOpen-AT.

Shouhei Yamanashi, Hisashi Yashiro, Takahiro Katagiri, Toru Nagai, Satoshi Ohshima

Proceedings of the 15th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2022

17th IEEE International Workshop on Automatic Performance Tuning (iWAPT2022).

Che-Rung Lee, Satoshi Ohshima

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 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, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Parallelization of GKV benchmark using OpenACC.

Makoto Morishita, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL.

Naruya Kitai, Daisuke Takahashi, Franz Franchetti, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

2020

Performance Evaluation of Accurate Matrix-Matrix Multiplication on GPU Using Sparse Matrix Multiplications.

Fumiya Ishiguro, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai

Proceedings of the Eighth International Symposium on Computing and Networking Workshops, 2020

Scalable Direct-Iterative Hybrid Solver for Sparse Matrices on Multi-Core and Vector Architectures.

Kenji Ono, Toshihiro Kato, Satoshi Ohshima, Takeshi Nanri

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2020

2019

Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-Matrix Arithmetic on GPU.

Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota

Proceedings of the 13th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2019

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

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

Optimization of Hierarchical Matrix Computation on GPU.

Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota

Proceedings of the Supercomputing Frontiers - 4th Asian Conference, 2018

Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters.

Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack J. Dongarra

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

Auto-Tuning on NUMA and Many-Core Environments with an FDM Code.

Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Utilization and Expansion of ppOpen-AT for OpenACC.

Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Auto-Tuning of Hybrid MPI/OpenMP Execution with Code Selection by ppOpen-AT.

Takahiro Katagiri, Masaharu Matsumoto, Satoshi Ohshima

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Directive-Based Auto-Tuning for the Finite Difference Method on the Xeon Phi.

Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2014

Performance Optimization of SpMV Using CRS Format by Considering OpenMP Scheduling on CPUs and MIC.

Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto

Proceedings of the IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs, 2014

Auto-tuning of Computation Kernels from an FDM Code with ppOpen-AT.

Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto

Proceedings of the IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs, 2014

Implementation and Evaluation of an AMR Framework for FDM Applications.

Masaharu Matsumoto, Futoshi Mori, Satoshi Ohshima, Hideyuki Jitsumoto, Takahiro Katagiri, Kengo Nakajima

Proceedings of the International Conference on Computational Science, 2014

2013

A Sparse Matrix Library with Automatic Selection of Iterative Solvers and Preconditioners.

Takao Sakurai, Takahiro Katagiri, Hisayasu Kuroda, Ken Naono, Mitsuyoshi Igai, Satoshi Ohshima

Proceedings of the International Conference on Computational Science, 2013

2012

Implementation and Evaluation of 3D Finite Element Method Application for CUDA.

Satoshi Ohshima, Masae Hayashi, Takahiro Katagiri, Kengo Nakajima

Proceedings of the High Performance Computing for Computational Science, 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

Proceedings of the High Performance Computing for Computational Science, 2012

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

Proceedings of the IEEE 6th International Symposium on Embedded Multicore/Manycore SoCs, 2012

2010

OMPCUDA : OpenMP Execution Framework for CUDA Based on Omni OpenMP Compiler.

Satoshi Ohshima, Shoichi Hirasawa, Hiroki Honda

Proceedings of the Beyond Loop Level Parallelism in OpenMP: Accelerators, 2010

2006

Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment.

Satoshi Ohshima, Kenji Kise, Takahiro Katagiri, Toshitsugu Yuba

Proceedings of the High Performance Computing for Computational Science, 2006