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Ryo Matsumiya
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2010 – 2019
- 2019
- [c6]Yuki Ito, Haruki Imai, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo:
Profiling based out-of-core hybrid method for large neural networks: poster. PPoPP 2019: 399-400 - [i1]Yuki Ito, Haruki Imai, Tung Le Duc, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo:
Profiling based Out-of-core Hybrid Method for Large Neural Networks. CoRR abs/1907.05013 (2019) - 2018
- [c5]Ryo Matsumiya, Toshio Endo:
Scalable RMA-based Communication Library Featuring Node-local NVMs. HPEC 2018: 1-7 - 2017
- [c4]Yuki Ito, Ryo Matsumiya, Toshio Endo:
ooc_cuDNN: Accommodating convolutional neural networks over GPU memory capacity. IEEE BigData 2017: 183-192 - 2016
- [j1]Yoshihiro Oyama
, Shun Ishiguro, Jun Murakami, Shin Sasaki, Ryo Matsumiya, Osamu Tatebe:
Experimental analysis of operating system jitter caused by page reclaim. J. Supercomput. 72(5): 1946-1972 (2016) - [c3]Ryo Matsumiya, Toshio Endo:
PGAS Communication Runtime for Extreme Large Data Computation. ESPM2@SC 2016: 10-16 - 2015
- [c2]Shin Sasaki, Ryo Matsumiya, Kazushi Takahashi, Yoshihiro Oyama, Osamu Tatebe:
RDMA-Based Cooperative Caching for a Distributed File System. ICPADS 2015: 344-353 - 2014
- [c1]Yoshihiro Oyama, Shun Ishiguro, Jun Murakami, Shin Sasaki, Ryo Matsumiya, Osamu Tatebe:
Reduction of operating system jitter caused by page reclaim. ROSS@ICS 2014: 9:1-9:8
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