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Part of the book series: Signal Processing and Digital Filtering ((SIGNAL PROCESS))

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Abstract

Highly parallel computing machines can vary over a wide range of design philosophies, but all depend on some form of space-time concurrency for their potential high-speed computing capacity. Typically, such computers feature a collection of homogeneous processing elements (nodes) together with an interconnection network and can be characterized by the granularity, or power, of the node processors, the degree of parallelism as measured by the number of independent processing elements and the complexity of node coupling, which describes the degree of interaction between nodes.

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© 1997 Springer Science+Business Media New York

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Tolimieri, R., An, M., Lu, C. (1997). Reduced Transform Algorithms. In: Burrus, C.S. (eds) Mathematics of Multidimensional Fourier Transform Algorithms. Signal Processing and Digital Filtering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1948-4_8

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  • DOI: https://doi.org/10.1007/978-1-4612-1948-4_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7352-3

  • Online ISBN: 978-1-4612-1948-4

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