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ORCIDSatoshi Ohshima
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2020 – today
- 2024
[i4]Takahiro Katagiri, Takao Sakurai, Mitsuyoshi Igai, Shoji Itoh, Satoshi Ohshima, Hisayasu Kuroda, Ken Naono, Kengo Nakajima:
Xabclib:A Fully Auto-tuned Sparse Iterative Solver. CoRR abs/2405.01599 (2024)- [i3]Shota Aoki, Takahiro Katagiri, Satoshi Ohshima, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino:
Adaptation of XAI to Auto-tuning for Numerical Libraries. CoRR abs/2405.10973 (2024) - 2023
- [c27]Sorataro Fujika
, Yuga Yajima, Teruo Tanaka, Akihiro Fujii, Yuka Kato, Satoshi Ohshima, Takahiro Katagiri:
Parallelization of Automatic Tuning for Hyperparameter Optimization of Pedestrian Route Prediction Applications using Machine Learning. HPC Asia 2023: 96-105 - [c26]Shinya Hashinoki, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai, Tetsuya Hoshino:
Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models. IPDPS Workshops 2023: 673-681 - [i2]Toma Sakurai, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai:
Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT. CoRR abs/2312.05779 (2023) - 2022
- [c25]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:
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-7 - [c24]Che-Rung Lee, Satoshi Ohshima:
17th IEEE International Workshop on Automatic Performance Tuning (iWAPT2022). IPDPS Workshops 2022: 911-912 - [c23]Shouhei Yamanashi, Hisashi Yashiro, Takahiro Katagiri, Toru Nagai, Satoshi Ohshima:
Autotuning Power Consumption and Computation Accuracy using ppOpen-AT. MCSoC 2022: 208-215 - [c22]Satoshi Ohshima, Akihiro Ida, Rio Yokota, Ichitaro Yamazaki:
QR Factorization of Block Low-Rank Matrices on Multi-instance GPU. PDCAT 2022: 359-369 - [i1]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:
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. CoRR abs/2203.14188 (2022) - 2021
- [c21]Makoto Morishita, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai:
Parallelization of GKV benchmark using OpenACC. IPDPS Workshops 2021: 723-729 - [c20]Naruya Kitai, Daisuke Takahashi, Franz Franchetti, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai:
An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL. IPDPS Workshops 2021: 789-797 - 2020
- [c19]Kenji Ono, Toshihiro Kato, Satoshi Ohshima, Takeshi Nanri:
Scalable Direct-Iterative Hybrid Solver for Sparse Matrices on Multi-Core and Vector Architectures. HPC Asia 2020: 11-21 - [c18]Fumiya Ishiguro, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai:
Performance Evaluation of Accurate Matrix-Matrix Multiplication on GPU Using Sparse Matrix Multiplications. CANDAR (Workshops) 2020: 178-184
2010 – 2019
- 2019
- [c17]Satoshi Ohshima, Soichiro Suzuki, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Yoshimichi Andoh:
Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core Environments. IPDPS Workshops 2019: 787-796 - [c16]Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota:
Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-Matrix Arithmetic on GPU. MCSoC 2019: 9-16 - 2018
- [j1]Yoshimichi Andoh, Soichiro Suzuki, Satoshi Ohshima, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Noriyuki Yoshii, Susumu Okazaki:
A thread-level parallelization of pairwise additive potential and force calculations suitable for current many-core architectures. J. Supercomput. 74(6): 2449-2469 (2018) - [c15]Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov, Rio Yokota, Jack J. Dongarra:
Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. IPDPS 2018: 930-939 - [c14]Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota:
Optimization of Hierarchical Matrix Computation on GPU. SCFA 2018: 274-292 - 2017
- [c13]Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto:
Auto-Tuning on NUMA and Many-Core Environments with an FDM Code. IPDPS Workshops 2017: 1399-1407 - 2016
- [c12]Takahiro Katagiri, Masaharu Matsumoto, Satoshi Ohshima:
Auto-Tuning of Hybrid MPI/OpenMP Execution with Code Selection by ppOpen-AT. IPDPS Workshops 2016: 1488-1495 - [c11]Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto:
Utilization and Expansion of ppOpen-AT for OpenACC. IPDPS Workshops 2016: 1496-1505 - 2015
- [c10]Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto:
Directive-Based Auto-Tuning for the Finite Difference Method on the Xeon Phi. IPDPS Workshops 2015: 1221-1230 - 2014
- [c9]Masaharu Matsumoto, Futoshi Mori, Satoshi Ohshima, Hideyuki Jitsumoto, Takahiro Katagiri, Kengo Nakajima:
Implementation and Evaluation of an AMR Framework for FDM Applications. ICCS 2014: 936-946 - [c8]Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto:
Auto-tuning of Computation Kernels from an FDM Code with ppOpen-AT. MCSoC 2014: 91-98 - [c7]Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto:
Performance Optimization of SpMV Using CRS Format by Considering OpenMP Scheduling on CPUs and MIC. MCSoC 2014: 253-260 - 2013
- [c6]Takao Sakurai, Takahiro Katagiri, Hisayasu Kuroda, Ken Naono, Mitsuyoshi Igai, Satoshi Ohshima:
A Sparse Matrix Library with Automatic Selection of Iterative Solvers and Preconditioners. ICCS 2013: 1332-1341 - 2012
- [c5]Satoshi Ito, Satoshi Ohshima, Takahiro Katagiri:
SSG-AT: An Auto-tuning Method of Sparse Matrix-vector Multiplicataion for Semi-structured Grids - An Adaptation to OpenFOAM. MCSoC 2012: 191-197 - [c4]Satoshi Ohshima, Masae Hayashi, Takahiro Katagiri, Kengo Nakajima:
Implementation and Evaluation of 3D Finite Element Method Application for CUDA. VECPAR 2012: 140-148 - [c3]Takahiro Katagiri, Takao Sakurai, Mitsuyoshi Igai, Satoshi Ohshima, Hisayasu Kuroda, Ken Naono, Kengo Nakajima:
Control Formats for Unsymmetric and Symmetric Sparse Matrix-Vector Multiplications on OpenMP Implementations. VECPAR 2012: 236-248 - 2010
- [c2]Satoshi Ohshima, Shoichi Hirasawa, Hiroki Honda:
OMPCUDA : OpenMP Execution Framework for CUDA Based on Omni OpenMP Compiler. IWOMP 2010: 161-173
2000 – 2009
- 2006
- [c1]Satoshi Ohshima, Kenji Kise, Takahiro Katagiri, Toshitsugu Yuba:
Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment. VECPAR 2006: 305-318
Coauthor Index
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