Akihiro Nomura

Orcid: 0000-0002-2417-1723

Affiliations:
  • Tokyo Institute of Technology, Japan
  • University of Tokyo, Japan (former)


According to our database1, Akihiro Nomura authored at least 17 papers between 2007 and 2023.

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Bibliography

2023
The Aggressive Oversubscribing Scheduling for Interactive Jobs on a Supercomputing System.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Effectiveness of the Oversubscribing Scheduling on Supercomputer Systems.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2023

2021
Measurement and Modeling of Performance of HPC Applications Towards Overcommitting Scheduling Systems.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2021

Performance Modeling of HPC Applications on Overcommitted Systems.
Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021

2019
How File-access Patterns Influence the Degree of I/O Interference between Cluster Applications.
Supercomput. Front. Innov., 2019

MH-QEMU: Memory-State-Aware Fault Injection Platform.
Proceedings of the Supercomputing Frontiers - 5th Asian Conference, 2019

HyperX topology: first at-scale implementation and comparison to the fat-tree.
Proceedings of the International Conference for High Performance Computing, 2019

The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees?
Proceedings of the 2019 IEEE Symposium on High-Performance Interconnects, 2019

2018
Machine Learning Predictions for Underestimation of Job Runtime on HPC System.
Proceedings of the Supercomputing Frontiers - 4th Asian Conference, 2018

2017
Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Serving More GPU Jobs, with Low Penalty, Using Remote GPU Execution and Migration.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014
Using rCUDA to Reduce GPU Resource-Assignment Fragmentation Caused by Job Scheduler.
Proceedings of the 15th International Conference on Parallel and Distributed Computing, 2014

How file access patterns influence interference among cluster applications.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2012
Design and Implementation of Portable and Efficient Non-blocking Collective Communication.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2010
Design of Kernel-Level Asynchronous Collective Communication.
Proceedings of the Recent Advances in the Message Passing Interface, 2010

2007
Network performance model for TCP/IP based cluster computing.
Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007


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