Parallel fast Fourier transformation method of...

Electrical computers: arithmetic processing and calculating – Electrical digital calculating computer – Particular function performed

Reexamination Certificate

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C708S404000

Reexamination Certificate

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07555509

ABSTRACT:
In a 3-dimensional fast Fourier transformation implemented by using a parallel-processing computer, an overhead caused by transfers of data between processors employed in the computer is reduced for the purpose of increasing the efficiency of processing parallelism. In order to reduce the overhead, data is divided into data elements each having an even X coordinate and data elements each having an odd X coordinate. In processing 34, the date elements each having an even coordinate are subjected to the transformation in the Y direction while the date elements each having an odd X coordinate are being subjected to a process of permutation among the processors at the same time. In processing 35, on the other hand, the data elements each having an odd X coordinate are subjected to the transformation in the X direction while the data elements each having even coordinate are being subjected to the process of permutation among the processors at the same time. As a result, the communication time it takes to carry out the process of permutation among the processors can be concealed behind the processing time so that the efficiency of the processing parallelism can be increased over the processing efficiency of the conventional method.

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Takahashi, Daisuku, “Parallel FFT Algorithms for the Distributed-Memory Parallel Computer Hitachi SR8000”, Joint Symposium on Parallel Processing 2000, Jun. 1, 2000, pp. 91-93, [CSDB] CS-NG-2001-00293-012, Abstract in English.
G.H. Golub et al, “The Fast Fourier Transform—Matrix Computations”, 3rdEdition, The Johns Hopkins University Press, 1996, pp. 189-192.
V. Kumar et al., Fast Fourier Transform—Introduction to Parallel Computing:, published by The Benjamin/Cummings Publishing company, 1994, pp. 377-406.

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