The solution of large, banded diagonally dominant or symmetric positive definite linear systems constitutes one of the most common computational tasks asso-ciated with implementations of the finite element method in applications such as fluid dynamics and structural analysis. Thus, designing multiprocessor algorithms for solving large block tridiagonal systems becomes of paramount importance for efficient imple-mentation of these applications on vector and parallel machines. We present such schemes here, along with specific performance results on the Alliant FX/8 and CRAY X-MP/48. We particularly emphasize the speedups obtained with these schemes over popular direct band solvers. The development of a candidate scheme for the multicluster CE...
For solving systems of linear algebraic equations with block-tridiagonal matrices arising in geoelec...
AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear ...
We are concerned with the parallel solution of large tridiagonal systems on message-based MIMD compu...
AbstractIn this paper, we consider a new form of the arithmetic mean method for solving large block ...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
The Parallel Diagonal Dominant (PDD) algorithm is an efficient tridiagonal solver. In this paper, a ...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
. We propose a stable algorithm for the parallel solution of banded and periodically banded linear s...
Various tridiagonal solvers have been proposed in recent years for different parallel platforms. In ...
The Parallel Diagonal Dominant (PDD) algorithm is a highly efficient, ideally scalable tridiagonal s...
We present a multi-threaded solver for symmetric positive definite linear systems where the coeffici...
We formalize the concept of patm!kZfitorhztim as a set of scalar factorizations. By means of this co...
AbstractFour parallel algorithms for the solution of block bidiagonal linear systems on distributed ...
Tridiagonal diagonally dominant linear systems arise in many scientific and engineering applications...
For solving systems of linear algebraic equations with block-tridiagonal matrices arising in geoelec...
AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear ...
We are concerned with the parallel solution of large tridiagonal systems on message-based MIMD compu...
AbstractIn this paper, we consider a new form of the arithmetic mean method for solving large block ...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
The Parallel Diagonal Dominant (PDD) algorithm is an efficient tridiagonal solver. In this paper, a ...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
. We propose a stable algorithm for the parallel solution of banded and periodically banded linear s...
Various tridiagonal solvers have been proposed in recent years for different parallel platforms. In ...
The Parallel Diagonal Dominant (PDD) algorithm is a highly efficient, ideally scalable tridiagonal s...
We present a multi-threaded solver for symmetric positive definite linear systems where the coeffici...
We formalize the concept of patm!kZfitorhztim as a set of scalar factorizations. By means of this co...
AbstractFour parallel algorithms for the solution of block bidiagonal linear systems on distributed ...
Tridiagonal diagonally dominant linear systems arise in many scientific and engineering applications...
For solving systems of linear algebraic equations with block-tridiagonal matrices arising in geoelec...
AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear ...
We are concerned with the parallel solution of large tridiagonal systems on message-based MIMD compu...