Theoretical construction and application of fine-grained cycle sharing technique for GPU grid
| Project/Area Number |
23700057
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Computer system/Network
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| Research Institution | Osaka University |
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Principal Investigator |
INO Fumihiko 大阪大学, 情報科学研究科, 准教授 (90346172)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 高性能計算 / GPGPU / マルチタスク / グリッド計算 / ＧＰＧＰＵ |
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| Research Abstract |
We developed a fine-grained cycle sharing technique for computational grid systems, which share computational resources on the network. Our technique is based on a multitasking mechanism for graphics processing units (GPUs). We applied our technique to a bioinformatics problem, called homology search, and demonstrated that scientific applications can be accelerated while editing electronic documents. We also constructed an idle cycle model for GPUs and developed a method that selects computational resources according to the distribution of idle period lengths.
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Report
(4 results)
Research Products
(31 results)
