2011 Fiscal Year Final Research Report
Research on FFT Algorithms for Peta-Scale Computing Environment
| Project/Area Number |
22700024
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Software
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| Research Institution | University of Tsukuba |
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Principal Investigator |
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| Project Period (FY) |
2010 – 2011
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| Keywords | 並列処理 / 分散処理 |
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| Research Abstract |
In this research, we investigated an implementation of parallel fast Fourier transform (FFT) algorithm for peta-scale computing environment. Since the optimal cache block size may depend on the problem size, we proposed a method to determine the optimal cache block size that minimizes the number of cache misses. In addition, parallel FFTs require intensive all-to-all communication, which affects the performance of FFTs. An automatic tuning of all-to-all communication was also implemented. The performance results demonstrate that the proposed implementation of parallel FFTs with automatic performance tuning is efficient for improving the performance.
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