AbstractFour parallel algorithms for the solution of block bidiagonal linear systems on distributed memory computers are presented. All the algorithms belong to the class of direct methods. The first is a variant of the sequential algorithm and is suitable for a small number of processors. The remaining three algorithms are based on the parallel methods for banded systems and are much better suited for parallel computations on multiple processors. The arithmetical complexity functions of the proposed algorithms are derived. The results of experiments with the four algorithms implemented in Parallel Fortran on a linear array of 32 Transputers are presented and discussed
A new stable method for the reduction of rectangular dense matrices to bidiagonal form has been pro...
of Dissertation October, 1995 This thesis presents research into parallel linear solvers for block-...
Introduction Let A = [a ij ] be a n \Theta n matrix such that a ij = 0 if ji \Gamma jj ? m: (1) Su...
AbstractFour parallel algorithms for the solution of block bidiagonal linear systems on distributed ...
AbstractA new tearing-type approach toward the solution of Almost Block Diagonal Systems on distribu...
In this thesis, we mainly concentrate on the implementation of sequential and parallel algorithms fo...
This paper presents a new efficient algorithm for solving bidiagonal systems of linear equations on ...
A new family of parallel schemes for directly solving linear systems is presented and analyzed. It i...
The discretization of separable elliptic partial differential equations leads to linear systems with...
Almost block diagonal (ABD) linear systems arise in a variety of contexts, specifically in numerical...
A general approach to solve boundary value problems numerically in a parallel environment is discuss...
Abstract. Agroup ofparallel algorithms,and theirimplementation forsolving a special class ofnonlinea...
Any opinions, findings, and conclusions or recommendations expressed in this publication are those o...
In this paper, the numerical aspects of some methods for the solution of bidiagonal systems are anal...
Our experimental results showed that block based algorithms for numerically intensive applications a...
A new stable method for the reduction of rectangular dense matrices to bidiagonal form has been pro...
of Dissertation October, 1995 This thesis presents research into parallel linear solvers for block-...
Introduction Let A = [a ij ] be a n \Theta n matrix such that a ij = 0 if ji \Gamma jj ? m: (1) Su...
AbstractFour parallel algorithms for the solution of block bidiagonal linear systems on distributed ...
AbstractA new tearing-type approach toward the solution of Almost Block Diagonal Systems on distribu...
In this thesis, we mainly concentrate on the implementation of sequential and parallel algorithms fo...
This paper presents a new efficient algorithm for solving bidiagonal systems of linear equations on ...
A new family of parallel schemes for directly solving linear systems is presented and analyzed. It i...
The discretization of separable elliptic partial differential equations leads to linear systems with...
Almost block diagonal (ABD) linear systems arise in a variety of contexts, specifically in numerical...
A general approach to solve boundary value problems numerically in a parallel environment is discuss...
Abstract. Agroup ofparallel algorithms,and theirimplementation forsolving a special class ofnonlinea...
Any opinions, findings, and conclusions or recommendations expressed in this publication are those o...
In this paper, the numerical aspects of some methods for the solution of bidiagonal systems are anal...
Our experimental results showed that block based algorithms for numerically intensive applications a...
A new stable method for the reduction of rectangular dense matrices to bidiagonal form has been pro...
of Dissertation October, 1995 This thesis presents research into parallel linear solvers for block-...
Introduction Let A = [a ij ] be a n \Theta n matrix such that a ij = 0 if ji \Gamma jj ? m: (1) Su...