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Akihiro Nomura
Akihiro Nomura
Global Scientific Information and Computing Center, Tokyo Institute of Technology
Verified email at gsic.titech.ac.jp - Homepage
Title
Cited by
Cited by
Year
Machine learning predictions for underestimation of job runtime on HPC system
J Guo, A Nomura, R Barton, H Zhang, S Matsuoka
Supercomputing Frontiers: 4th Asian Conference, SCFA 2018, Singapore, March …, 2018
332018
How file access patterns influence interference among cluster applications
CS Kuo, A Shah, A Nomura, S Matsuoka, F Wolf
2014 IEEE International Conference on Cluster Computing (CLUSTER), 185-193, 2014
302014
Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers
Y Oyama, A Nomura, I Sato, H Nishimura, Y Tamatsu, S Matsuoka
2016 IEEE International Conference on Big Data (Big Data), 66-75, 2016
282016
Design of kernel-level asynchronous collective communication
A Nomura, Y Ishikawa
Recent Advances in the Message Passing Interface: 17th European MPI Users …, 2010
242010
Hyperx topology: First at-scale implementation and comparison to the fat-tree
J Domke, S Matsuoka, IR Ivanov, Y Tsushima, T Yuki, A Nomura, S Miura, ...
Proceedings of the International Conference for High Performance Computing …, 2019
222019
Using rCUDA to Reduce GPU Resource-assignment Fragmentation
P Markthub, A Nomura, S Matsuoka
Book name Proceedings of the 15th International Conference on Parallel and, 0
13*
Overview of TSUBAME3. 0, green cloud supercomputer for convergence of HPC, AI and big-data
S Matsuoka, T Endo, A Nukada, S Miura, A Nomura, H Sato, H Jitsumoto, ...
Tsubame ESJ.: e-science journal/Tsubame e-science journal 編集室 編 16, 20-27, 2017
102017
HPC とビッグデータ・AI を融合するグリーン・クラウドスパコン TSUBAME3. 0 の概要
松岡聡, 遠藤敏夫, 額田彰, 三浦信一, 野村哲弘, 佐藤仁, 實本英之
研究報告ハイパフォーマンスコンピューティング (HPC) 2017 (29), 1-6, 2017
92017
Network performance model for TCP/IP based cluster computing
A Nomura, H Matsuba, Y Ishikawa
2007 IEEE International Conference on Cluster Computing, 194-203, 2007
92007
Design and implementation of portable and efficient non-blocking collective communication
A Nomura, Y Ishikawa, N Maruyama, S Matsuoka
2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2012
72012
Prediction apparatus, prediction method, and prediction program
H Nishimura, S Matsuoka, A Nomura, Y Oyama, I Sato
US Patent App. 15/439,304, 2018
52018
Measurement and modeling of performance of HPC applications towards overcommitting scheduling systems
S Minami, T Endo, A Nomura
Workshop on Job Scheduling Strategies for Parallel Processing, 59-79, 2021
42021
The first supercomputer with hyperx topology: A viable alternative to fat-trees?
J Domke, S Matsuoka, I Radanov, Y Tsushima, T Yuki, A Nomura, S Miura, ...
2019 IEEE Symposium on High-Performance Interconnects (HOTI), 1-4, 2019
42019
Environment matters: how competition for I/O among applications degrades their performance
CS Kuo, A Nomura, S Matsuoka, A Shah, F Wolf, I Zhukov
IPSJ SIG Technical Report, 1-7, 2013
42013
Learning system and learning method
I Sato, R Fujisaki, A Nomura, Y Oyama, S Matsuoka
US Patent 11,521,057, 2022
32022
TSUBAME2 におけるスケジュール効率化への取り組みとユーザ動向の見える化
野村哲弘, 佐々木淳, 三浦信一, 遠藤敏夫, 松岡聡
研究報告ハイパフォーマンスコンピューティング (HPC) 2015 (2), 1-7, 2015
32015
How File-access Patterns Influence the Degree of I/O Interference between Cluster Applications
A Shah, CS Kuo, A Nomura, S Matsuoka, F Wolf
Supercomputing Frontiers and Innovations 6 (2), 29-55, 2019
22019
Mh-qemu: Memory-state-aware fault injection platform
H Jitsumoto, Y Kobayashi, A Nomura, S Matsuoka
Supercomputing Frontiers: 5th Asian Conference, SCFA 2019, Singapore, March …, 2019
22019
Serving more GPU jobs, with low penalty, using remote GPU execution and migration
P Markthub, A Nomura, S Matsuoka
2016 IEEE International Conference on Cluster Computing (CLUSTER), 485-488, 2016
22016
Reducing Remote GPU Execution’s Overhead with mrCUDA
P Markthub, A Nomura, S Matsuoka
GPU Technology Conference, 1-1, 2016
22016
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