Koichi Shirahata

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 14

Top Topics

Memory Management

Benchmark Suite

Reduction Method

Distributed Heterogeneous

Top Venues

INNS DLIA@IJCNN

Publications

Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata
Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. CCGrid (2023)
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)
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)
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 (2021)
Koichi Shirahata, Amir Haderbache, Naoto Fukumoto, Kohta Nakashima
Preliminary Performance Analysis of Distributed DNN Training with Relaxed Synchronization. IEICE Trans. Electron. (6) (2021)
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)
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)
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)
Koichi Shirahata, Youri Coppens, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike
GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning. Int. J. Netw. Comput. 8 (2) (2018)
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)
Youri Coppens, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike
GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning. CANDAR (2017)
Koichi Shirahata, Yasumoto Tomita, Atsushi Ike
Memory reduction method for deep neural network training. MLSP (2016)
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 (2016)
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) (2016)
Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka
Large-scale distributed sorting for GPU-based heterogeneous supercomputers. IEEE BigData (2014)
Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka
Out-of-core GPU memory management for MapReduce-based large-scale graph processing. CLUSTER (2014)
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)
Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, Satoshi Matsuoka
A GPU Implementation of Generalized Graph Processing Algorithm GIM-V. CLUSTER Workshops (2012)
Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka
Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters. CloudCom (2010)