Add to ORKGWe report on the properties of implementations of fast-Givens rotation and Householder reflector based parallel algorithms for the solution of linear least squares problems on a cluster of workstations. Givens rotations enable communication hiding and take greater advantage of parallelism then Householder reflectors, provided the matrices are sufficiently large.Conference PaperPublishe
In this paper we report an effective parallelisation of the Householder routine for the reduction of...
. The linear least squares problem arises in many areas of sciences and engineerings. When the coef...
In this paper we study the parallelization of PCGLS, a basic iterative method whose main idea is to ...
Least squares problems occur in many branches of science. Typically there may be a large number of d...
In this paper we present two versions of a parallel algorithm to solve the block–Toeplitz least-squa...
Within the context of recursive least-squares, the implementation of a Householder algorithm for blo...
Computationally efficient parallel algorithms for downdating the least squares estimator of the ordi...
AbstractA new algorithm is presented for the efficient solution of large least squares problems in w...
The concurrent solution of large linear systems of equations on processor meshes of fixed size has b...
In this paper we study the parallel aspects of PCGLS, a basic iterative method whose main idea is to...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by ...
AbstractThe use of the Givens method to solve linear equations on a parallel computer is reviewed, a...
We describe the issues involved in the design and implementation of efficient parallel algorithms fo...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
In this paper we report an effective parallelisation of the Householder routine for the reduction of...
. The linear least squares problem arises in many areas of sciences and engineerings. When the coef...
In this paper we study the parallelization of PCGLS, a basic iterative method whose main idea is to ...
Least squares problems occur in many branches of science. Typically there may be a large number of d...
In this paper we present two versions of a parallel algorithm to solve the block–Toeplitz least-squa...
Within the context of recursive least-squares, the implementation of a Householder algorithm for blo...
Computationally efficient parallel algorithms for downdating the least squares estimator of the ordi...
AbstractA new algorithm is presented for the efficient solution of large least squares problems in w...
The concurrent solution of large linear systems of equations on processor meshes of fixed size has b...
In this paper we study the parallel aspects of PCGLS, a basic iterative method whose main idea is to...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by ...
AbstractThe use of the Givens method to solve linear equations on a parallel computer is reviewed, a...
We describe the issues involved in the design and implementation of efficient parallel algorithms fo...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
In this paper we report an effective parallelisation of the Householder routine for the reduction of...
. The linear least squares problem arises in many areas of sciences and engineerings. When the coef...
In this paper we study the parallelization of PCGLS, a basic iterative method whose main idea is to ...