WIT Press


Benchmarking A Massively Parallel Computer By A Synthetic Aperture Radar Processing Algorithm

Price

Free (open access)

Paper DOI

10.2495/ASE930281

Volume

3

Pages

16

Published

1993

Size

1,352 kb

Author(s)

Y. Luo, I.G. Cummming & M.J. Yedlin

Abstract

Benchmarking a massively parallel computer by a synthetic aperture radar processing algorithm Y. Luo", I.G. Cummmg\ M.J. Yedlin" Canada ABSTRACT The Synthetic Aperture Radar (SAR) is a very computational intensive sig- nal processing application for a Massively Parallel Computer. It involves a series of complex array manipulations, such as FFTs, complex array multi- plications, transpositions, and space-variant convolutions, which are quite common in two-dimensional computing or signal processing applications. Optimally implementing a SAR processing algorithm on a MPP such as the Connection Machine CM-2 or CM-200 is a suitable way to study the architecture and to test the sustained performance of a MPP. In this paper, it is shown how the SAR algorithm can be mapped onto the parallel archi- tecture of the CM and how suitable the CM architecture and CM-Fort ran features are for the implementation of the SAR algorithm. The computing speeds of an optimized CM-Fortran SAR p

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