Parallel inverse QR decomposition

Authors:
Hongyu Xu;Winser E. Alexander
Affiliations:
North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC
Venue:
ACM-SE 30 Proceedings of the 30th annual Southeast regional conference
Year:
1992

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Abstract

This paper describes an algorithm and an associated architecture for the parallel implementation of the least squares problem using the inverse QR decomposition. We developed the architecture as a part of our research on the parallel implementation of multidimensional signal processing algorithms. In this paper, we show that this architecture can also be used to provide a high performance implementation of the least squares problem.