| 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 | 144 | 2010 |
| 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 | 42 | 2021 |
| 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 | 39 | 2014 |
| 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 | 25 | 2018 |
| 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 | 23 | 2013 |
| 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 | 22 | 2017 |
| 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 | 22 | 2016 |
| Image recognizing apparatus, computer-readable recording medium, image recognizing method, and recognition apparatus K Shirahata US Patent 10,296,804, 2019 | 19 | 2019 |
| 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 | 16 | 2016 |
| 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 | 10 | 2014 |
| Controlling memory area for training a neural network K Shirahata US Patent 11,003,990, 2021 | 6 | 2021 |
| 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 | 6 | 2017 |
| 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 | 6 | 2012 |
| Information processing apparatus, method and non-transitory computer-readable storage medium K Shirahata US Patent App. 15/966,363, 2018 | 5 | 2018 |
| 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 | 4 | 2022 |
| Inference method and information processing apparatus A Haderbache, K Shirahata US Patent App. 17/549,934, 2022 | 4 | 2022 |
| 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 | 4 | 2021 |
| Information processing method, and information processing apparatus K Shirahata, A Haderbache, Y Tomita US Patent 11,625,517, 2023 | 3 | 2023 |
| Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks Y Sakai, T Dang, S Fukuta, K Shirahata, A Ishikawa, A Inoue, ... Procedia Computer Science 222, 458-467, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerified email at acm.org