A Stream Algorithm for the SVD
We present a stream algorithm for the Singular-Value Decomposition (SVD) of anM X N matrix A. Our algorithm trades speed of numerical convergence for parallelism,and derives from a one-sided, cyclic-by-rows Hestenes SVD. Experimental results showthat we can create O(M) parallelism, at the expense of...
Main Authors: | Strumpen, Volker, Hoffmann, Henry, Agarwal, Anant |
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Other Authors: | Computer Architecture |
Language: | en_US |
Published: |
2005
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Online Access: | http://hdl.handle.net/1721.1/30429 |
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