2013 Fiscal Year Final Research Report
Development of novel GPU programming techniques
| Project/Area Number |
23650012
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Software
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
NUKADA AKIRA 東京工業大学, 学術国際情報センター, 特任准教授 (40545688)
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| Project Period (FY) |
2011 – 2012
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| Keywords | 並列処理・分散処理 / ＧＰＧＰＵ |
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| Research Abstract |
In 2006, NVIDIA presented CUDA as GPU computing environment for genericl computations, and after that many time-consuming applications are ported to GPU and achieved extreme speed-ups. For large-scale computation using supercomputers, efficient data transfer between GPUs is the most important. FFT is used in many scientific simulations and requires all-to-all communications between GPUs. We presented a novel scheduling techniques of PCI-Express data transfer between host and GPU, and InfiniBand data transfers between nodes. As a result, we could achieve scalable performance even if many other users' jobs are running on the shared network.
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[Presentation] Peta-scale Phase-Field Simulation for Dendritic Solidification on the TSUBAME 2. 0 Supercomputer2011
Author(s)
Takashi Shimokawabe, Takayuki Aoki, Tomohiro Takaki, Akinori Yamanaka, Akira Nukada, Toshio Endo, Naoya Maruyama, and Satoshi Matsuoka
Organizer
Proc. Of 2011 ACM/IEEE International Conference for High Performance, Networking, Storage, and Analysis (SC' 11)
Place of Presentation
Seattle
Year and Date
2011-11-12
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