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Parallel FFT Algorithm on Computer Clusters

Parallel FFT Algorithm on Computer Clusters
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摘要 DFT is widely applied in the field of signal process and others. Most present rapid ways of calculation are either based on paralleled computers connected by such particular systems like butterfly network, hypercube etc; or based on the assumption of instant transportation, non-conflict communication, complete connection of paralleled processors and unlimited usable processors. However, the delay of communication in the system of information transmission cannot be ignored. This paper works on the following aspects: instant transmission, dispatching missions, and the path of information through the communication link in the computer cluster systems; layout of the dynamic FFT algorithm under the different structures of computer clusters. DFT is widely applied in the field of signal process and others. Most present rapid ways of calculation are either based on paralleled computers connected by such particular systems like butterfly network, hypercube etc; or based on the assumption of instant transportation, non-conflict communication, complete connection of paralleled processors and unlimited usable processors. However, the delay of communication in the system of information transmission cannot be ignored. This paper works on the following aspects: instant transmission, dispatching missions, and the path of information through the communication link in the computer cluster systems; layout of the dynamic FFT algorithm under the different structures of computer clusters.
作者 YU Xiu-min
出处 《Journal of Northeast Agricultural University(English Edition)》 CAS 2005年第2期160-162,共3页 东北农业大学学报(英文版)
关键词 fast fourier transform FFT) computer clusters ALGORITHM fast fourier transform ( FFT) computer clusters algorithm
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参考文献2

  • 1Malteo Frigo,Steven G Johnson.FFTW:an adaptive software architecture for the FFT[].Int’l Conf on Acoust Speech and Signal Processing.1998
  • 2John Hagedorn,Judith Devanog.Special issue on MPI2[].The International Journal of High Performance Supercomputing Applications.1998

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