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Koichi Shirahata
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2020 – today
- 2023
- [c14]Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata:
Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. CCGrid 2023: 524-534 - [c13]Yasufumi Sakai, Thang Dang, Shigeki Fukuta, Koichi Shirahata, Atsushi Ishikawa, Atsuki Inoue, Hiroshi Kawaguchi, Árni Björn Höskuldsson, Egill Skúlason:
Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks. INNS DLIA@IJCNN 2023: 458-467 - 2021
- [j3]Koichi Shirahata, Amir Haderbache, Naoto Fukumoto, Kohta Nakashima:
Preliminary Performance Analysis of Distributed DNN Training with Relaxed Synchronization. IEICE Trans. Electron. 104-C(6): 257-260 (2021) - [c12]Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato:
The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer. HiPC 2021: 152-161 - [c11]Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin:
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC 2021: 33-45 - [i2]Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin:
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR abs/2110.11466 (2021) - 2020
- [c10]Amir Haderbache, Koichi Shirahata, Takuji Yamamoto, Yasumoto Tomita, Hiroshi Okuda:
Acceleration of Structural Analysis Simulations using CNN-based Auto-Tuning of Solver Tolerance. IPDPS Workshops 2020: 777-786
2010 – 2019
- 2018
- [j2]Koichi Shirahata, Youri Coppens, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike:
GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning. Int. J. Netw. Comput. 8(2): 408-433 (2018) - [c9]Takuya Fukagai, Kyosuke Maeda, Satoshi Tanabe, Koichi Shirahata, Yasumoto Tomita, Atsushi Ike, Akira Nakagawa:
Speed-Up of Object Detection Neural Network with GPU. ICIP 2018: 301-305 - 2017
- [c8]Youri Coppens, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike:
GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning. CANDAR 2017: 330-336 - [c7]Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike, Tetsutaro Hashimoto:
An automated CNN recommendation system for image classification tasks. ICME 2017: 283-288 - 2016
- [j1]Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka:
GPU-Accelerated Large-Scale Distributed Sorting Coping with Device Memory Capacity. IEEE Trans. Big Data 2(1): 57-69 (2016) - [c6]Koichi Shirahata, Yasumoto Tomita, Atsushi Ike:
Memory reduction method for deep neural network training. MLSP 2016: 1-6 - [i1]Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike:
An Automated CNN Recommendation System for Image Classification Tasks. CoRR abs/1612.08484 (2016) - 2014
- [c5]Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka:
Large-scale distributed sorting for GPU-based heterogeneous supercomputers. IEEE BigData 2014: 510-518 - [c4]Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka:
Out-of-core GPU memory management for MapReduce-based large-scale graph processing. CLUSTER 2014: 221-229 - 2013
- [c3]Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, Satoshi Matsuoka:
A Scalable Implementation of a MapReduce-based Graph Processing Algorithm for Large-Scale Heterogeneous Supercomputers. CCGRID 2013: 277-284 - 2012
- [c2]Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, Satoshi Matsuoka:
A GPU Implementation of Generalized Graph Processing Algorithm GIM-V. CLUSTER Workshops 2012: 207-212 - 2010
- [c1]Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka:
Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters. CloudCom 2010: 733-740
Coauthor Index
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