具有分布式内存和并行磁盘的多处理器外核fft(扩展抽象)

T. Cormen, J. Wegmann, D. Nicol
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引用次数: 24

摘要

本文用并行磁盘模型(PDM)扩展了早期的单处理器的核外快速傅里叶变换(FFT)方法,使之适用于多处理器。研究了四种离核多处理器方法。在操作上,这些方法取决于在内存中计算的“minibutter”的大小,以及数据在磁盘和多处理器的分布式内存中的组织方式。这些方法还执行不同数量的I/O和通信。其中两个具有显著的特性,即使它们在多处理器上计算FFT,所有处理器间通信都发生在迷你黄油计算之外。在一个小型工作站集群上的性能结果表明,除了问题大小和内存大小的不寻常组合外,在mini-butter计算期间不执行处理器间通信的方法所需的时间约为执行处理器间通信的方法的86%。而且,更快的方法更容易实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiprocessor out-of-core FFTs with distributed memory and parallel disks (extended abstract)
This paper extends an earlier out-of-core Fast Fourier Transform (FFT) method for a uniprocessor with the Parallel Disk Model (PDM) to use multiple processors. Four out-of-core multiprocessor methods are examined. Operationally, these methods di er in the size of \minibutter y" computed in memory and how the data are organized on the disks and in the distributed memory of the multiprocessor. The methods also perform di ering amounts of I/O and communication. Two of them have the remarkable property that even though they are computing the FFT on a multiprocessor, all interprocessor communication occurs outside the mini-butter y computations. Performance results on a small workstation cluster indicate that except for unusual combinations of problem size and memory size, the methods that do not perform interprocessor communication during the mini-butter y computations require approximately 86% of the time of those that do. Moreover, the faster methods are much easier to implement.
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