We describe three new Jacobi orderings for parallel computation of SVD problems on tree architectures. The first ordering uses the high bandwidth of a perfect binary fat-tree to minimise global interprocessor communication costs. The second is a new ring ordering which may be implemented efficiently on an ordinary binary tree. By combining these two orderings, an efficient new ordering, well suited for implementation on the Connection Machine CM5, is obtained
The communication cost plays a key role in the performance of many parallel algorithms. In the parti...
Abstract-As a useful tool for dimensionality reduction, Singular Value Decomposition (SVD) plays an ...
We propose a systolic architecture for computing a singular value decomposition of an m x n matrix,...
We describe three new Jacobi orderings for parallel computation of SVD problems on tree architecture...
We describe a new Jacobi ordering for parallel computation of SVD problems. The ordering uses the hi...
Singular value decomposition (SVD) is used in many applications such as real-time signal processing ...
AbstractThis paper reports several parallel singular value decomposition (SVD) algorithms on the hyp...
The goal of this survey is to give a view of the state-of-the-art of computing the Singular Value De...
We present a stream algorithm for the Singular-Value Decomposition (SVD) of anM X N matrix A. Our al...
Journal PaperWe present a new family of architectures for processor arrays to implement Jacobi SVD w...
In this paper we compare several implementations of Kogbetliantz's algorithm for computing the SVD o...
The system of equations that govern kinematically redundant manipulators is commonly solved by #ndin...
Jacobi techniques for computing the symmetric eigenvalue and singular value decompositions have ach...
This thesis presents a systolic algorithm for the SVD of arbitrary complex matrices, based on the cy...
Conference PaperA systolic algorithm for the SVD of arbitrary complex matrices, based on the cyclic ...
The communication cost plays a key role in the performance of many parallel algorithms. In the parti...
Abstract-As a useful tool for dimensionality reduction, Singular Value Decomposition (SVD) plays an ...
We propose a systolic architecture for computing a singular value decomposition of an m x n matrix,...
We describe three new Jacobi orderings for parallel computation of SVD problems on tree architecture...
We describe a new Jacobi ordering for parallel computation of SVD problems. The ordering uses the hi...
Singular value decomposition (SVD) is used in many applications such as real-time signal processing ...
AbstractThis paper reports several parallel singular value decomposition (SVD) algorithms on the hyp...
The goal of this survey is to give a view of the state-of-the-art of computing the Singular Value De...
We present a stream algorithm for the Singular-Value Decomposition (SVD) of anM X N matrix A. Our al...
Journal PaperWe present a new family of architectures for processor arrays to implement Jacobi SVD w...
In this paper we compare several implementations of Kogbetliantz's algorithm for computing the SVD o...
The system of equations that govern kinematically redundant manipulators is commonly solved by #ndin...
Jacobi techniques for computing the symmetric eigenvalue and singular value decompositions have ach...
This thesis presents a systolic algorithm for the SVD of arbitrary complex matrices, based on the cy...
Conference PaperA systolic algorithm for the SVD of arbitrary complex matrices, based on the cyclic ...
The communication cost plays a key role in the performance of many parallel algorithms. In the parti...
Abstract-As a useful tool for dimensionality reduction, Singular Value Decomposition (SVD) plays an ...
We propose a systolic architecture for computing a singular value decomposition of an m x n matrix,...