| Overview of the IBM Blue Gene/P project G Almasi, S Asaad, RE Bellofatto, HR Bickford, MA Blumrich, B Brezzo, ... IBM Journal of Research and Development, 2008 | 219 | 2008 |
| Computer data sharing system and method for maintaining replica consistency Y Negishi, M Ahuja, K Tago US Patent 6,571,278, 2003 | 96 | 2003 |
| Network system, server, data processing method and program Y Negishi, H Murata, K Okuyama, K Tago US Patent 7,401,129, 2008 | 77 | 2008 |
| Compiling onnx neural network models using mlir T Jin, GT Bercea, TD Le, T Chen, G Su, H Imai, Y Negishi, A Leu, ... arXiv preprint arXiv:2008.08272, 2020 | 55 | 2020 |
| Magnetic disk unit, file management system, and file management method K Okuyama, K Tago, Y Negishi US Patent App. 11/971,368, 2008 | 55 | 2008 |
| Overlapping methods of all-to-all communication and FFT algorithms for torus-connected massively parallel supercomputers J Doi, Y Negishi SC'10: Proceedings of the 2010 ACM/IEEE International Conference for High …, 2010 | 48 | 2010 |
| Tflms: Large model support in tensorflow by graph rewriting TD Le, H Imai, Y Negishi, K Kawachiya arXiv preprint arXiv:1807.02037, 2018 | 45 | 2018 |
| Packet communication system, communication method and program Y Katayama, Y Negishi, A Okazaki US Patent 9,066,289, 2015 | 45 | 2015 |
| Automatic gpu memory management for large neural models in tensorflow TD Le, H Imai, Y Negishi, K Kawachiya Proceedings of the 2019 ACM SIGPLAN International Symposium on Memory …, 2019 | 20 | 2019 |
| A systematic approach toward automated performance analysis and tuning G Cong, IH Chung, HF Wen, D Klepacki, H Murata, Y Negishi, T Moriyama IEEE Transactions on Parallel and Distributed Systems 23 (3), 426-435, 2011 | 15 | 2011 |
| Large model support for deep learning in caffe and chainer M Cho, TD Le, U Finkler, H Imai, Y Negishi, T Sekiyama, S Vinod, ... SysML, 2018 | 13 | 2018 |
| A Multiprocessor Resource Management Scheme Which Considers Program Grain Size T Moriyama IPSJ Research Report 90 (60), 103-108, 1990 | 13 | 1990 |
| Real-time resource usage reduction in artificial neural networks T Sekiyama, K Kawachiya, TD Le, Y Negishi US Patent 10,268,951, 2019 | 12 | 2019 |
| Profiling based out-of-core hybrid method for large neural networks: poster Y Ito, H Imai, TL Duc, Y Negishi, K Kawachiya, R Matsumiya, T Endo Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 12 | 2019 |
| Fast and accurate 3D medical image segmentation with data-swapping method H Imai, S Matzek, TD Le, Y Negishi, K Kawachiya arXiv preprint arXiv:1812.07816, 2018 | 12 | 2018 |
| A holistic approach towards automated performance analysis and tuning G Cong, IH Chung, H Wen, D Klepacki, H Murata, Y Negishi, T Moriyama Euro-Par 2009 Parallel Processing: 15th International Euro-Par Conference …, 2009 | 12 | 2009 |
| Asynchronous checkpoint acqusition and recovery from the checkpoint in parallel computer calculation in iteration method T Ishikawa, H Murata, Y Negishi US Patent App. 13/396,820, 2012 | 11 | 2012 |
| Apparatus and method for packet communications K Tago, Y Negishi, M Hoshiba US Patent 5,436,892, 1995 | 11 | 1995 |
| Involving cpus into multi-gpu deep learning TD Le, T Sekiyama, Y Negishi, H Imai, K Kawachiya Proceedings of the 2018 ACM/SPEC international conference on performance …, 2018 | 10 | 2018 |
| Multi-GPU deep learning using CPUs TD Le, H Imai, T Sekiyama, Y Negishi US Patent 11,164,079, 2021 | 8 | 2021 |
Kiyokuni KawachiyaSenior Technical Staff Member, IBM Research - Tokyo在 jp.ibm.com 的电子邮件经过验证
