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 | 33 | 2018 |
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 | 30 | 2014 |
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 | 29 | 2016 |
Design of kernel-level asynchronous collective communication A Nomura, Y Ishikawa Recent Advances in the Message Passing Interface: 17th European MPI Users …, 2010 | 24 | 2010 |
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 | 22 | 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 | 14* | |
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 | 10 | 2017 |
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 | 9 | 2017 |
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 | 9 | 2007 |
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 | 7 | 2012 |
Prediction apparatus, prediction method, and prediction program H Nishimura, S Matsuoka, A Nomura, Y Oyama, I Sato US Patent App. 15/439,304, 2018 | 5 | 2018 |
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 | 4 | 2021 |
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 | 4 | 2019 |
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 | 4 | 2013 |
Learning system and learning method I Sato, R Fujisaki, A Nomura, Y Oyama, S Matsuoka US Patent 11,521,057, 2022 | 3 | 2022 |
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 | 3 | 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 | 2 | 2019 |
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 | 2 | 2019 |
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 | 2 | 2016 |
Reducing Remote GPU Execution’s Overhead with mrCUDA P Markthub, A Nomura, S Matsuoka GPU Technology Conference, 1-1, 2016 | 2 | 2016 |