Architectures for Computing Eigenvalues and SVDs

Franklin T. Luk

doi:10.1117/12.960496

28 July 1986 Architectures for Computing Eigenvalues and SVDs

Franklin T. Luk

Proceedings Volume 0614, Highly Parallel Signal Processing and Architectures; (1986) https://doi.org/10.1117/12.960496
Event: O-E/LASE'86 Symposium, 1986, Los Angeles, CA, United States

Abstract

Systolic architectures for eigenvalues and singular values are discussed. One "triangular" processor array and associated algorithms for computing the QR-decomposition, the singular value decomposition, the generalized singular value decomposition and the CS-decomposition are described in detail.

Citation Download Citation

Franklin T. Luk "Architectures for Computing Eigenvalues and SVDs", Proc. SPIE 0614, Highly Parallel Signal Processing and Architectures, (28 July 1986); https://doi.org/10.1117/12.960496

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