Akihiro Nomura
Akihiro Nomura
Global Scientific Information and Computing Center, Tokyo Institute of Technology
Verified email at - Homepage
Cited by
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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
Design of kernel-level asynchronous collective communication
A Nomura, Y Ishikawa
European MPI Users' Group Meeting, 92-101, 2010
Machine learning predictions for underestimation of job runtime on HPC system
J Guo, A Nomura, R Barton, H Zhang, S Matsuoka
Asian Conference on Supercomputing Frontiers, 179-198, 2018
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
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
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
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 e-Science J 16, 2-9, 2017
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
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
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
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
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
世界最大規模のオープン AI インフラストラクチャ AI 橋渡しクラウド (ABCI) の概要
小川宏高, 松岡聡, 佐藤仁, 高野了成, 滝澤真一朗, 谷村勇輔, 三浦信一, ...
研究報告ハイパフォーマンスコンピューティング (HPC) 2018 (19), 1-7, 2018
Learning system and learning method
I Sato, R Fujisaki, A Nomura, Y Oyama, S Matsuoka
US Patent App. 15/795,691, 2018
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
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
Prediction apparatus, prediction method, and prediction program
H Nishimura, S Matsuoka, A Nomura, Y Oyama, I Sato
US Patent App. 15/439,304, 2018
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
Reducing Remote GPU Execution’s Overhead with mrCUDA
P Markthub, A Nomura, S Matsuoka
GPU Technology Conference, 1-1, 2016
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
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