Rchr
J-GLOBAL ID：201801005864892043
Update date: Jan. 30, 2024
Takizawa Shinichiro
Takizawa Shinichiro
Affiliation and department：
Homepage URL (1)：
https://stakizawa.github.io/
Research field (2)：
Computer systems
, High-performance computing
Research theme for competitive and other funds (4)：
- 2021 - 2024 Development of system reliability improvement technology based on medium- to long-term failure prediction
- 2019 - 2022 Autonomous HPC data center using machine learning
- 2011 - 2016 Fault Tolerant Infrastructure Toward Billion of Parallelization and Exa-scale Supercomputer
- 2006 - 2010 Highly Scalable, High Performance and Autonomous Distributed Execution for Information Explosion Environments
Papers (22)：
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Peng Chen, Mohamed Wahib, Xiao Wang, Shinichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka. Performance portable back-projection algorithms on CPUs. Proceedings of the ACM International Conference on Supercomputing. 2021
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Shin'ichiro Takizawa, Ryousei Takano. Effect of an Incentive Implementation for Specifying Accurate Walltime in Job Scheduling. Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region. 2020. 169-178
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Yusuke Tanimura, Shin'ichiro Takizawa, Hirotaka Ogawa, Takahiro Hamanishi. Building and Evaluation of Cloud Storage and Datasets Services on AI and HPC Converged Infrastructure. 2020 IEEE International Conference on Big Data (IEEE BigData 2020). 2020. 1992-2001
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Peng Chen, Mohamed Wahib, Shinichiro Takizawa, Ryousei Takano, Satoshi Matsuoka. iFDK. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. 2019
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Peng Chen, Mohamed Wahib, Shinichiro Takizawa, Ryousei Takano, Satoshi Matsuoka. A versatile software systolic execution model for GPU memory-bound kernels. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. 2019
ｍore...
MISC (49)：
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滝澤真一朗, 野村哲弘, 松葉浩也. 深層強化学習を用いたジョブスケジューリングでの予測値の利用検証. 情報処理学会研究報告(Web). 2021. 2021. HPC-182
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野村哲弘, 滝澤真一朗, 三浦信一, 遠藤敏夫, 松葉浩也. センサー情報を意識したジョブスケジューリング実現のための標準ジョブ履歴スキーマの提案. 情報処理学会研究報告(Web). 2021. 2021. HPC-178
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中田秀基, 滝澤真一朗, 小川宏高. Improvement of User-friendliness of Large-scale Computation Clusters. 情報処理学会研究報告(Web). 2020. 2020. HPC-174
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滝澤真一朗, 坂部昌久, 谷村勇輔, 小川宏高. ABCI上でのジョブ実行履歴の分析による深層学習計算の傾向把握. 情報処理学会研究報告(Web). 2020. 2020. HPC-176
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滝澤真一朗, 高野了成, 清水正明, 松葉浩也, 中田秀基, 小川宏高. クラウドオブジェクトストレージを活用したメタスケジューラ. 情報処理学会研究報告(Web). 2020. 2020. HPC-177
ｍore...
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