Singular Value Computations with Systolic Arrays.
YALE UNIV NEW HAVEN CT DEPT OF COMPUTER SCIENCE
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Systolic arrays are constructed for bandwidth reduction and singular value decomposition of m x n matrices, wlog, m or n. The underlying algorithms are unconditionally stable. Since input and output occurs, as in previous designs, by diagonals arrays can be directly appended to further reduce the computation time. Consequently, the designs will be most efficient for matrices with a fairly small and dense band.
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