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Koichi Shirahata
Koichi Shirahata
Verified email at fujitsu.com - Homepage
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Cited by
Year
Hybrid map task scheduling for GPU-based heterogeneous clusters
K Shirahata, H Sato, S Matsuoka
2010 IEEE Second International Conference on Cloud Computing Technology and …, 2010
1382010
Out-of-core GPU memory management for MapReduce-based large-scale graph processing
K Shirahata, H Sato, S Matsuoka
2014 IEEE International Conference on Cluster Computing (CLUSTER), 221-229, 2014
362014
MLPerf™ HPC: A holistic benchmark suite for scientific machine learning on HPC systems
S Farrell, M Emani, J Balma, L Drescher, A Drozd, A Fink, G Fox, D Kanter, ...
2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021
222021
A scalable implementation of a mapreduce-based graph processing algorithm for large-scale heterogeneous supercomputers
K Shirahata, H Sato, T Suzumura, S Matsuoka
2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid …, 2013
222013
Memory reduction method for deep neural network training
K Shirahata, Y Tomita, A Ike
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
212016
An automated CNN recommendation system for image classification tasks
S Wang, L Sun, W Fan, J Sun, S Naoi, K Shirahata, T Fukagai, Y Tomita, ...
2017 IEEE International Conference on Multimedia and Expo (ICME), 283-288, 2017
202017
Speed-up of object detection neural network with GPU
T Fukagai, K Maeda, S Tanabe, K Shirahata, Y Tomita, A Ike, ...
2018 25th IEEE International conference on image processing (ICIP), 301-305, 2018
162018
GPU-accelerated large-scale distributed sorting coping with device memory capacity
H Shamoto, K Shirahata, A Drozd, H Sato, S Matsuoka
IEEE Transactions on Big Data 2 (1), 57-69, 2016
142016
Large-scale distributed sorting for GPU-based heterogeneous supercomputers
H Shamoto, K Shirahata, A Drozd, H Sato, S Matsuoka
2014 IEEE International Conference on Big Data (Big Data), 510-518, 2014
92014
Gunreal: Gpu-accelerated unsupervised reinforcement and auxiliary learning
Y Coppens, K Shirahata, T Fukagai, Y Tomita, A Ike
2017 Fifth International Symposium on Computing and Networking (CANDAR), 330-336, 2017
62017
A GPU Implementation of generalized graph processing algorithm GIM-V
K Shirahata, H Sato, T Suzumura, S Matsuoka
2012 IEEE International Conference on Cluster Computing Workshops, 207-212, 2012
62012
Controlling memory area for training a neural network
K Shirahata
US Patent 11,003,990, 2021
52021
Information processing apparatus, method and non-transitory computer-readable storage medium
K Shirahata
US Patent App. 15/966,363, 2018
42018
Performance Analysis of MapReduce Implementations for High Performance Homology Search (Unrefereed Workshop Manuscript)
C Zhang, K Shirahata, S Suzuki, Y Akiyama, S Matsuoka
情報処理学会研究報告.[ハイパフォーマンスコンピューティング] 2014 (29), 1-7, 2014
42014
Information processing apparatus, neural network program, and processing method for neural network
K Shirahata, T Arakawa, K Yoda, M Ito, Y Tomita
US Patent 11,475,284, 2022
32022
The 16,384-node parallelism of 3D-CNN training on an arm CPU based supercomputer
A Tabuchi, K Shirahata, M Yamazaki, A Kasagi, T Honda, K Kurihara, ...
2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021
32021
Porting MPI based HPC Applications to X10
H Murata, M Horie, K Shirahata, J Doi, H Tai, M Takeuchi, K Kawachiya
Proc. ACM SIGPLAN Workshop on X 10, 2014
32014
Inference method and information processing apparatus
A Haderbache, K Shirahata
US Patent App. 17/549,934, 2022
22022
Job power predicting method and information processing apparatus
S Suzuki, M Shiraga, K Shirahata, H Endo, H Fukuda, T Yamamoto
US Patent 11,392,475, 2022
22022
Preliminary performance analysis of distributed DNN training with relaxed synchronization
K Shirahata, A Haderbache, N Fukumoto, K Nakashima
IEICE Transactions on Electronics 104 (6), 257-260, 2021
22021
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