| Project/Area Number |
25600156
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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 |
Computational science
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
MAEZONO RYO 北陸先端科学技術大学院大学, 情報科学研究科, 准教授 (40354146)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 並列計算 / 電子状態計算 / 高速化 / GPU / モンテカルロ |
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| Outline of Final Research Achievements |
We considered a new updating scheme for particle positions appearing in Monte Carlo methods, which is suitable for the GPGPU acceleration. In the particle-by-particle Metropolis updating scheme, we can evaluate whether a proposed update of a particle position was accepted or rejected base on the configuration of other particles at the previous step, though most of the conventional implementation uses those at the present step. By taking the previous step configuration, we can create the considerable number of degrees for further internal parallel processing. We implemented the internal parallel processing using GPGPU further on the conventional MPI implementation, and achieved the reasonable acceleration.
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