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Akihiro Nomura 0002
Person information
- affiliation: Tokyo Institute of Technology, Japan
- affiliation (former): University of Tokyo, Japan
Other persons with the same name
- Akihiro Nomura 0001 — Kyushu University, Fukuoka, Japan
- Akihiro Nomura 0003
— Osaka University, Graduate School of Information Science and Technology, Japan
- Akihiro Nomura 0004 — Kanazawa University, Innovative Clinical Research Center, Japan
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2020 – today
- 2023
- [c16]Shohei Minami
Effectiveness of the Oversubscribing Scheduling on Supercomputer Systems. HPC Asia 2023: 18-28 - [c15]Shohei Minami, Toshio Endo, Akihiro Nomura:
The Aggressive Oversubscribing Scheduling for Interactive Jobs on a Supercomputing System. HPEC 2023: 1-7 - 2021
- [c14]Shohei Minami, Toshio Endo, Akihiro Nomura
Performance Modeling of HPC Applications on Overcommitted Systems. HPC Asia 2021: 129-132 - [c13]Shohei Minami
Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling Systems. JSSPP 2021: 59-79
2010 – 2019
- 2019
- [j1]Aamer Shah, Chih-Song Kuo, Akihiro Nomura
How File-access Patterns Influence the Degree of I/O Interference between Cluster Applications. Supercomput. Front. Innov. 6(2): 29-55 (2019) - [c12]Jens Domke, Satoshi Matsuoka, Ivan Radanov, Yuki Tsushima, Tomoya Yuki, Akihiro Nomura
The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees? Hot Interconnects 2019: 1-4 - [c11]Jens Domke, Satoshi Matsuoka, Ivan R. Ivanov
HyperX topology: first at-scale implementation and comparison to the fat-tree. SC 2019: 40:1-40:23 - [c10]Hideyuki Jitsumoto, Yuya Kobayashi, Akihiro Nomura
MH-QEMU: Memory-State-Aware Fault Injection Platform. SCFA 2019: 71-85 - 2018
- [c9]Jian Guo
Machine Learning Predictions for Underestimation of Job Runtime on HPC System. SCFA 2018: 179-198 - 2017
- [c8]Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura
Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition. ICONIP (2) 2017: 305-314 - 2016
- [c7]Yosuke Oyama, Akihiro Nomura
Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers. IEEE BigData 2016: 66-75 - [c6]Pak Markthub, Akihiro Nomura
Serving More GPU Jobs, with Low Penalty, Using Remote GPU Execution and Migration. CLUSTER 2016: 485-488 - 2014
- [c5]Chih-Song Kuo, Aamer Shah, Akihiro Nomura
How file access patterns influence interference among cluster applications. CLUSTER 2014: 185-193 - [c4]Pak Markthub, Akihiro Nomura
Using rCUDA to Reduce GPU Resource-Assignment Fragmentation Caused by Job Scheduler. PDCAT 2014: 105-112 - 2012
- [c3]Akihiro Nomura
Design and Implementation of Portable and Efficient Non-blocking Collective Communication. CCGRID 2012: 1-8 - 2010
- [c2]Akihiro Nomura
Design of Kernel-Level Asynchronous Collective Communication. EuroMPI 2010: 92-101
2000 – 2009
- 2007
- [c1]Akihiro Nomura
Network performance model for TCP/IP based cluster computing. CLUSTER 2007: 194-203
Coauthor Index
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