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Parallel implementation of 1-D fast Fourier transform without inter-processor communications

机译:一维快速傅立叶变换的并行实现,无需处理器间通信

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Computing 1-D fast Fourier transform (FFT) using the classical 4-step FFT on parallel computers requires intensive all-to-all communication. This all-to-all communication significantly reduces the performance of FFT. In this paper, we present the no-communication algorithm that is a parallel algorithm for 1-D FFT without inter-processors communication. The advantage of this algorithm is the absence of all-to-all communication between processors. The disadvantage of this algorithm is the extra computation compared to the classical 4-step FFT. The no-communication algorithm has been implemented and tested in 8-node symmetric multiprocessors (SMP). The results show that the no-communication algorithm performs better than the 4-step FFT for relatively small data sizes. However, 4-step FFT algorithm performs better than the no-communication for relatively large data sizes.
机译:在并行计算机上使用经典4步FFT计算1-D快速傅立叶变换(FFT)需要密集的全部通信。这一点沟通显着降低了FFT的性能。在本文中,我们介绍了一个不通信算法,其是1-D FFT的并行算法,而无需处理器间通信。该算法的优点是处理器之间没有全部通信。与经典的4步FFT相比,该算法的缺点是额外的计算。在8节点对称多处理器(SMP)中已经实现和测试了无通信算法。结果表明,对于相对较小的数据尺寸,No-Conviscess算法比4步FFT更好地执行。然而,对于相对大的数据大小,4步FFT算法比无通信更好地执行。

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