Implementing the generalized matrix product on a systolic array parallel architecture

James R. Stright

doi:10.1117/12.279610

19 September 1997 Implementing the generalized matrix product on a systolic array parallel architecture

James R. Stright

Proceedings Volume 3166, Parallel and Distributed Methods for Image Processing; (1997) https://doi.org/10.1117/12.279610
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

The generalized matrix product includes in its formulation many common array manipulations. It also provides a framework for the expression of a number of important image processing algorithms. It is shown that the generalized matrix product may be implemented in its full generality on systolic array architectures. Two approaches are presented. One approach is to regard the generalized matrix product as a collection of products of small matrices and then consider arrangements of systolic configurations common to the smaller products. A second approach is to embed the two factors of the generalized matrix product in sparse matrices and multiply the sparse matrices using a conventional systolic array.

Citation Download Citation

James R. Stright "Implementing the generalized matrix product on a systolic array parallel architecture", Proc. SPIE 3166, Parallel and Distributed Methods for Image Processing, (19 September 1997); https://doi.org/10.1117/12.279610

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