Koichi Shirahata

According to our database, Koichi Shirahata authored at least 18 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks.

Yasufumi Sakai, Thang Dang, Shigeki Fukuta, Koichi Shirahata, Atsushi Ishikawa, Atsuki Inoue, Hiroshi Kawaguchi, Árni Björn Höskuldsson, Egill Skúlason

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers.

Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2021

Preliminary Performance Analysis of Distributed DNN Training with Relaxed Synchronization.

Koichi Shirahata, Amir Haderbache, Naoto Fukumoto, Kohta Nakashima

IEICE Trans. Electron., 2021

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

CoRR, 2021

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.

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

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer.

Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020

Acceleration of Structural Analysis Simulations using CNN-based Auto-Tuning of Solver Tolerance.

Amir Haderbache, Koichi Shirahata, Takuji Yamamoto, Yasumoto Tomita, Hiroshi Okuda

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2018

GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning.

Koichi Shirahata, Youri Coppens, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike

Int. J. Netw. Comput., 2018

Speed-Up of Object Detection Neural Network with GPU.

Takuya Fukagai, Kyosuke Maeda, Satoshi Tanabe, Koichi Shirahata, Yasumoto Tomita, Atsushi Ike, Akira Nakagawa

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

An automated CNN recommendation system for image classification tasks.

Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike, Tetsutaro Hashimoto

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

GPU-Accelerated Large-Scale Distributed Sorting Coping with Device Memory Capacity.

Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka

IEEE Trans. Big Data, 2016

An Automated CNN Recommendation System for Image Classification Tasks.

Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike

CoRR, 2016

Memory reduction method for deep neural network training.

Koichi Shirahata, Yasumoto Tomita, Atsushi Ike

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2014

Out-of-core GPU memory management for MapReduce-based large-scale graph processing.

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

Large-scale distributed sorting for GPU-based heterogeneous supercomputers.

Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

A Scalable Implementation of a MapReduce-based Graph Processing Algorithm for Large-Scale Heterogeneous Supercomputers.

Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, Satoshi Matsuoka

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012

A GPU Implementation of Generalized Graph Processing Algorithm GIM-V.

Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, Satoshi Matsuoka

Proceedings of the 2012 IEEE International Conference on Cluster Computing Workshops, 2012

2010

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters.

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

Proceedings of the Cloud Computing, Second International Conference, 2010