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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6361
Title: A Systolic Architecture for the Singular Value Decomposition
Authors: Brent, Richard P.
Luk, Franklin T.
Keywords: computer science
technical report
Issue Date: Sep-1982
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR82-522
Abstract: We propose a systolic architecture for computing a singular value decomposition of an m x n matrix, where $m \geq n$. Our algorithm is stable and requires only $O(mn)$ time on a linear array of $O(n)$ processors. Extensions to algorithms for two-dimensional arrays are also discussed. Key Words and Phrases: Systolic arrays, singular value decomposition, Hestenes method, threshold Jacobi method, real-time computation.
URI: http://hdl.handle.net/1813/6361
Appears in Collections:Computer Science Technical Reports

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