Koichi Shirahata

21 papers A 1B 3C 2Misc 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination.
CoRR
Ziqiang Shi, Rujie Liu, Shanshan Yu, Satoshi Munakata, Koichi Shirahata
2026 J jnl
SchröMind: Mitigating Hallucinations in Multimodal Large Language Models via Solving the Schrödinger Bridge Problem.
CoRR
Ziqiang Shi, Rujie Liu, Shanshan Yu, Satoshi Munakata, Koichi Shirahata
2023 B conf
Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers.
CCGrid
Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata
2023 — conf
Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks.
INNS DLIA@IJCNN
Yasufumi Sakai, Thang Dang, Shigeki Fukuta, Koichi Shirahata, Atsushi Ishikawa, Atsuki Inoue, Hiroshi Kawaguchi, Árni Björn Höskuldsson, Egill Skúlason
2021 J jnl
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.
CoRR
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
2021 — conf
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.
MLHPC@SC
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
2021 J jnl
Preliminary Performance Analysis of Distributed DNN Training with Relaxed Synchronization.
IEICE Trans. Electron.
Koichi Shirahata, Amir Haderbache, Naoto Fukumoto, Kohta Nakashima
2021 Misc conf
The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer.
HiPC
Akihiro Tabuchi, Koichi Shirahata, Masafumi Yamazaki, Akihiko Kasagi, Takumi Honda, Kouji Kurihara, Kentaro Kawakami, Tsuguchika Tabaru, Naoto Fukumoto, Akiyoshi Kuroda, Takaaki Fukai, Kento Sato
2020 — conf
Acceleration of Structural Analysis Simulations using CNN-based Auto-Tuning of Solver Tolerance.
IPDPS Workshops
Amir Haderbache, Koichi Shirahata, Takuji Yamamoto, Yasumoto Tomita, Hiroshi Okuda
2018 J jnl
GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning.
Int. J. Netw. Comput.
Koichi Shirahata, Youri Coppens, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike
2018 B conf
Speed-Up of Object Detection Neural Network with GPU.
ICIP
Takuya Fukagai, Kyosuke Maeda, Satoshi Tanabe, Koichi Shirahata, Yasumoto Tomita, Atsushi Ike, Akira Nakagawa
2017 A conf
An automated CNN recommendation system for image classification tasks.
ICME
Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike, Tetsutaro Hashimoto
2017 — conf
GUNREAL: GPU-accelerated UNsupervised REinforcement and Auxiliary Learning.
CANDAR
Youri Coppens, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike
2016 J jnl
An Automated CNN Recommendation System for Image Classification Tasks.
CoRR
Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike
2016 J jnl
GPU-Accelerated Large-Scale Distributed Sorting Coping with Device Memory Capacity.
IEEE Trans. Big Data
Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka
2016 — conf
Memory reduction method for deep neural network training.
MLSP
Koichi Shirahata, Yasumoto Tomita, Atsushi Ike
2014 — conf
Large-scale distributed sorting for GPU-based heterogeneous supercomputers.
IEEE BigData
Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka
2014 C conf
Out-of-core GPU memory management for MapReduce-based large-scale graph processing.
CLUSTER
Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka
2013 B conf
A Scalable Implementation of a MapReduce-based Graph Processing Algorithm for Large-Scale Heterogeneous Supercomputers.
CCGRID
Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, Satoshi Matsuoka
2012 — conf
A GPU Implementation of Generalized Graph Processing Algorithm GIM-V.
CLUSTER Workshops
Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, Satoshi Matsuoka
2010 C conf
Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters.
CloudCom
Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka