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HIGHLY PARALLEL MULTI-DIMENSIONAL FAST FOURIER TRANSFORM ON FINE- AND COARSE-GRAINED MANY-CORE APPROACHES

机译:精细和粗粒度多核方法的高度并行多维傅立叶变换

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Multi-dimensional fixed-point fast Fourier transform (FFT) methods were developed and tested on two general-purpose many-core architecture platforms. One is the highly-parallel fine-grained eXplicit Multi-Threaded (XMT) single-chip parallel architecture that targets reducing single task completion time. The second is 8xDual Core AMD Opteron 8220. The results show that the former outperforms the latter not only in speedup and ease of programming, but also with small data sets (small-scale parallelism). One of our results on XMT was a super-linear speedup (by a factor larger than the number of processors) observed under some rather unique circumstances.
机译:在两个通用的多核体系结构平台上开发并测试了多维定点快速傅里叶变换(FFT)方法。一种是高度并行的细粒度混合多线程(XMT)单芯片并行体系结构,旨在减少单个任务的完成时间。第二个是8xDual Core AMD Opteron8220。结果表明,前者不仅在速度和编程简便性方面都优于后者,而且在小数据集(小规模并行性)方面也优于后者。我们在XMT上获得的结果之一是在某些相当独特的情况下观察到的超线性加速(比处理器数量大一倍)。

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