Paper Info
Title
A Parallel Algorithm for Computing the Generalized Singular Value Decomposition
Abstract
A parallel algorithm for computing the generalized singular value decomposition of two matrices A and B having the same number of columns is described in this paper. The algorithm is designed for efficient implementation on distributed-memory parallel computer architectures. The time cost is O(n2) units for parallel preprocessing, and O(n2/p) units for the GSVD of two upper trapezoidal matrices, where p is the dimension of the triangular array of processors.
Year
DOI
Venue
1994
10.1006/jpdc.1994.1027
Journal of Parallel and Distributed Computing
Keywords
DocType
Volume
parallel algorithm
Journal
20
Issue
ISSN
Citations 
3
0743-7315
2
PageRank 
References 
Authors
0.52
0
1
Name
Order
Citations
PageRank
Zhaojun Bai1661107.69