著書論文等- 小松 一彦 -
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件数:95件
[2019]
1.[] Xevolver: A code transformation framework for separation of system-awareness from application codes.[Concurrency and Computation: Practice and Experience,(2019),1-20]Kazuhiko Komatsu, Ayumu Gomi, Ryusuke Egawa, Daisuke Takahashi, Reiji Suda, Hiroyuki Takizawa
10.1002/cpe.5577
2.[] Optimizing Memory Layout of Hyperplane Ordering for Vector Supercomputer SX-Aurora TSUBASA.[MCHPC’19: Workshop on Memory Centric High Performance Computing,(2019)]Osamu Watanabe, Yuta Hougi, Kazuhiko Komatsu, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi
3.[] A Hardware Prefetching Mechanism for Vector Gather Instructions.[IA^3 2019: 9th Workshop on Irregular Applications: Architectures and Algorithms,(2019)]Hikaru Takayashiki,Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi
4.[] A Skewed Multi-Bank Cache for Vector Processors.[International Supercomputing Conference(ISC2019) Poster,(2019)]Hikaru Takayashiki, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi
5.[] An Application Parameter Search Method Based on the Binary Search Algorithm for Performance Tuning.[International Supercomputing Conference(ISC2019) Poster,(2019)]Takumi Kishitani, Kazuhiko Komatsu, Akihiro Musa, Masayuki Sato, Hiroaki Kobayashi
6.[] An Appropriate Computing System and its System Parameters Selection based on Bottleneck Prediction of Applications.[2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),(2019)]Kazuhiko Komatsu, Takumi Kishitani, Masayuki Sato, Hiroaki Kobayashi
10.1109/IPDPSW.2019.00127
7.[] Perceptron-based Cache Bypassing for Way-Adaptable Caches.[IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL Chips 22),(2019)]Masayuki Sato, Yongcheng Chen, Haruya Kikuchi, Kazuhiko Komatsu and Hiroaki Kobayashi
10.1109/CoolChips.2019.8721331
[2018]
8.[] Developing Efficient Implementations of Bellman–Ford and Forward-Backward Graph Algorithms for NEC SX-ACE.[SUPERCOMPUTING FRONTIERS AND INNOVATIONS,5(3),(2018),65-69]Ilya V. Afanasyev, Alexander S. Antonov, Dmitry A. Nikitenko, Vadim V. Voevodin, Vladimir V. Voevodin, Kazuhiko Komatsu, Osamu Watanabe, Akihiro Musa, Hiroaki Kobayashi
10.14529/jsfi180311
9.[] Performance Evaluation of a Vector Supercomputer SX-Aurora TSUBASA.[Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis,(2018)]Kazuhiko Komatsu, Shintaro Momose, Yoko Isobe, Osamu Watanabe, Akihiro Musa, Mitsuo Yokokawa, Toshikazu Aoyama, Masayuki Sato, and Hiroaki Kobayashi
10.1109/SC.2018.00057
10.[] Search Space Reduction for Parameter Tuning of a Tsunami Simulation on a Many-core Processor.[IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018) Special session Auto-Tuning for Multicore and GPU(ATMG2018),(2018)]Kazuhiko Komatsu, Takumi Kishitani, Masayuki Sato, Akihiro Musa and Hiroaki Kobayashi
10.1109/MCSoC2018.2018.00030
11.[] Expressing the Differences in Code Optimizations between Intel Knights Landing and NEC SX-ACE Processors.[13th World Congress on Computational Mechanics/2nd Pan American Congress on Computational Mechanics,(2018)]Hiroyuki Takizawa, Thorsten Reimann, Kazuhiko Komatsu, Takashi Soga, Ryusuke Egawa, Akihiro Musa, and Hiroaki Kobayashi
12.[] Performance Evaluation of a Real-Time Tsunami Inundation Forecast System on Modern Supercomputers.[15th Annual Meeting Asia Oceania Geoscience Society,(2018)]Akihiro Musa, Takumi Kishitani, Takuya Inoue, Hiroaki Hokari, Masayuki Sato, Kazuhiko Komatsu, Yoichi Murashima, Shunichi Koshimura, Hiroaki Kobayashi
13.[] Use of Code Structural Features for Machine Learning to Predict Effective Optimizations.[33rd IEEE International Parallel & Distributed Processing Symposium Workshops(IPDPSW), International Workshop on Automatic Performance Tuning,(2018),1049-1055]Yuki Kawarabatake, Mulya Agung, Kazuhiko Komatsu, Ryusuke Egawa and Hiroyuki Takizawa
10.1109/IPDPSW.2018.00163
14.[] Migrating an Old Vector Code to Modern Vector Machines.[30th International Conference on Parallel Computational Fluid Dynamics,(2018)]Hiroyuki Takizawa, Kenta Yamaguchi, Takashi Soga, Thorsten Reimann, Kazuhiko Komatsu, Ryusuke Egawa, Akihiro Musa, and Hiroaki Kobayashi
[2017]
15.[] A Memory Congestion-aware MPI Process Placement for Modern NUMA Systems.[24th International Conference on High-Performance Computing, Data, and Analytics,(2017)]Mulya Agung, Muhammad Alfian Amrizal, Kazuhiko Komatsu, Ryusuke Egawa, and Hiroyuki Takizawa
10.1109/HiPC.2017.00026
16.[] An Application-Level Incremental Checkpointing Mechanism with Automatic Parameter Tuning.[Fifth International Symposium on Computing and Networking,(2017)]Hiroyuki Takizawa, Muhammad Alfian Amrizal, Kazuhiko Komatsu and Ryusuke Egawa
10.1109/CANDAR.2017.96
17.[] Designing an Open Database of System-Aware Code Optimizations.[Fifth International Symposium on Computing and Networking (CANDAR),(2017)]Ryusuke Egawa, Kazuhiko Komatsu and Hiroyuki Takizawa
10.1109/CANDAR.2017.102
18.[] Potential of a modern vector supercomputer for practical applications: performance evaluation of SX-ACE.[Journal of Supercomputing,(2017),1-29]Ryusuke Egawa and Kazuhiko Komatsu and Shintaro Momose and Yoko Isobe and Akihiro Musa and Hiroyuki Takizawa and Hiroaki Kobayashi
10.1007/s11227-017-1993-y
19.[] Program Optimization of Numerical Turbine for Vector Supercomputer SX-ACE.[Computers & Fluids,(2017)]Yuta Sakaguchi, Kenryo Kataumi, Hiroshi Matsuoka, Osamu Watanabe, Akihiro Musa, Kazuhiko Komatsu, Ryusuke Egawa, Hiroaki Kobayashi, Satoru Yamamoto
20.[] A Directive Generation Approach to High Code-Maintainability for Various HPC Systems.[International Journal of Networking and Computing,(2017)]Kazuhiko Komatsu, Ryusuke Egawa, Hiroyuki Takizawa and Hiroaki Kobayashi
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