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Performance of the Hough transform on a distributed memory multiprocessor

机译:Hough变换在分布式内存多处理器上的性能

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The Hough transform is a projection-based transform which can be used to detect shapes in images. One of the disadvantages of the transform is its requirement for large amounts of computing power. Parallel machines have given programmers the potential for incredible computing power. To obtain maximum performance from parallel machines, parallel algorithms should be designed to reflect the architecture of the parallel machine. The work reported in this paper compares the performance obtained in running several parallel versions of the Hough transform on a Fujitsu AP 1000 distributed memory multiprocessor.
机译:霍夫变换是一种基于投影的变换,可用于检测图像中的形状。转换的缺点之一是它需要大量的计算能力。并行计算机为程序员提供了无与伦比的计算能力。为了从并行机中获得最佳性能,应设计并行算法以反映并行机的体系结构。本文报道的工作比较了在富士通AP 1000分布式内存多处理器上运行多个并行版本的Hough变换所获得的性能。

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