Development of low-power GPU-based next-generation weather prediction code
| Project/Area Number |
25870223
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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 |
Computational science
High performance computing
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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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: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 気象計算 / 高性能計算 / GPU / 大規模計算 / 高生産フレームワーク / スーパーコンピュータ |
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| Outline of Final Research Achievements |
Numerical weather prediction is one of the major applications in high-performance computing and is accelerated on recent GPU supercomputers. Skillful programming techniques are required for obtaining good parallel efficiency on these supercomputers. To apply these complicated optimizations to various mesh-based applications easily, we have developed a high-productivity and high-portability framework for multi-GPU computation of mesh-based applications. By using this framework, the programmer can write user code just in a standard language and generate program code optimized for the GPU supercomputers. We have implemented the weather prediction code ASUCA on a multi-GPU platform by using this proposed framework; ASUCA is a high-resolution meso-scale atmospheric model being developed by the Japan Meteorological Agency. The framework-based ASUCA performed on TSUBAME2.5 supercomputer at Tokyo Institute of Technology has achieved high-resolution simulation results with high performance.
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Report
(3 results)
Research Products
(16 results)
