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 | 139 | 2010 |
Performance characteristics of Graph500 on large-scale distributed environment T Suzumura, K Ueno, H Sato, K Fujisawa, S Matsuoka 2011 IEEE International Symposium on Workload Characterization (IISWC), 149-158, 2011 | 87 | 2011 |
Interoperation of world‐wide production e‐Science infrastructures M Riedel, E Laure, T Soddemann, L Field, JP Navarro, J Casey, ... Concurrency and Computation: Practice and Experience 21 (8), 961-990, 2009 | 83 | 2009 |
A model-based algorithm for optimizing i/o intensive applications in clouds using vm-based migration K Sato, H Sato, S Matsuoka 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid …, 2009 | 45 | 2009 |
Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system T Saito, K Sato, H Sato, S Matsuoka Proceedings of the 3rd Workshop on Fault-tolerance for HPC at Extreme Scale …, 2013 | 41 | 2013 |
Access-pattern and bandwidth aware file replication algorithm in a grid environment H Sato, S Matsuoka, T Endo, N Maruyama 2008 9th IEEE/ACM International Conference on Grid Computing, 250-257, 2008 | 39 | 2008 |
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 | 38 | 2014 |
File clustering based replication algorithm in a grid environment H Sato, S Matsuoka, T Endo 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid …, 2009 | 35 | 2009 |
Extreme Big Data (EBD): Next generation big data infrastructure technologies towards yottabyte/year S Matsuoka, H Sato, O Tatebe, F Takatsu, MA Jabri, M Koibuchi, ... Supercomputing frontiers and innovations 1 (2), 89-107, 2014 | 33 | 2014 |
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 |
High-performance general solver for extremely large-scale semidefinite programming problems K Fujisawa, H Sato, S Matsuoka, T Endo, M Yamashita, M Nakata SC'12: Proceedings of the International Conference on High Performance …, 2012 | 23 | 2012 |
Multiple sports player tracking system based on graph optimization using low-cost cameras Y Nishikawa, H Sato, J Ozawa 2018 IEEE International Conference on Consumer Electronics (ICCE), 1-4, 2018 | 21 | 2018 |
Job invocation interoperability between NAREGI Middleware Beta and gLite H Nakada, H Sato, K Saga, M Hatanaka, Y Saeki, S Matsuoka HPC Asia, 2007 | 21 | 2007 |
NVM-based hybrid BFS with memory efficient data structure K Iwabuchi, H Sato, Y Yasui, K Fujisawa, S Matsuoka 2014 IEEE International Conference on Big Data (Big Data), 529-538, 2014 | 19 | 2014 |
Petascale general solver for semidefinite programming problems with over two million constraints K Fujisawa, T Endo, Y Yasui, H Sato, N Matsuzawa, S Matsuoka, H Waki 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014 | 18 | 2014 |
The total picture of tsubame2. 0 S Matsuoka, T Endo, N Maruyama, H Sato, S Takizawa TSUBAME e-Science Journal, GSIC, Tokyo Institute of Technology 1, 2-4, 2010 | 16 | 2010 |
Japanese poor metabolizers of proguanil do not have an increased risk of malaria chemoprophylaxis breakthrough. EK Mberu, T Wansor, H Sato, Y Nishikawa, WM Watkins | 16 | 1995 |
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 | 15 | 2016 |
Overview of TSUBAME3. 0, green cloud supercomputer for convergence of HPC, AI and big-data S Matsuoka, T Endo, A Nukada, S Miura, A Nomura, H Sato, H Jitsumoto, ... Tsubame ESJ.: e-science journal/Tsubame e-science journal 編集室 編 16, 20-27, 2017 | 10 | 2017 |
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 |