The truncated SPIKE algorithm is a parallel solver for linear systems which are banded and strictly diagonally dominant by rows. There are machines for which the current implementation of the algorithm is faster and scales better than the corresponding solver in ScaLAPACK (PDDBTRF/PDDBTRS). In this paper we prove that the SPIKE matrix is strictly diagonally dominant by rows with a degree no less than the original matrix. We establish tight upper bounds on the decay rate of the spikes as well as the truncation error. We analyze the error of the method and present the results of some numerical experiments which show that the accuracy of the truncated SPIKE algorithm is comparable to LAPACK and ScaLAPACK
This contribution outlines an approach that draws on general purpose graphics processing unit (GPGPU...
We present implementation details of a reordering strategy for permuting elements whose absolute val...
The Parallel Diagonal Dominant (PDD) algorithm is an efficient tridiagonal solver. In this paper, a ...
The explicit Spike algorithm applies to narrow banded linear systems which are strictly diagonally d...
The SPIKE algorithm [1, 2] is an efficient generic divide-and-conquer algorithm for solving banded s...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
With availability of large-scale parallel platforms comprised of tens-of-thousands of processors and...
ii This paper describes the SPIKE algorithm for solving large banded linear systems using a divide-a...
We propose a parallel sparse triangular linear system solver based on the Spike algorithm. Sparse tr...
A new parallel solver based on SPIKE-TA algorithm has been developed using OpenMP API for solving d...
his paper addresses the problem of minimizing the number of columns with superdiagonal nonzeroes (vi...
We consider the problem of computing a scaling α such that the solution x of the scaled linear syste...
The ScaLAPACK library contains a pair of routines for solving banded linear systems which are strict...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
SPIKE is a parallel algorithm to solve block tridiagonal matrices. In this work, two useful improvem...
This contribution outlines an approach that draws on general purpose graphics processing unit (GPGPU...
We present implementation details of a reordering strategy for permuting elements whose absolute val...
The Parallel Diagonal Dominant (PDD) algorithm is an efficient tridiagonal solver. In this paper, a ...
The explicit Spike algorithm applies to narrow banded linear systems which are strictly diagonally d...
The SPIKE algorithm [1, 2] is an efficient generic divide-and-conquer algorithm for solving banded s...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
With availability of large-scale parallel platforms comprised of tens-of-thousands of processors and...
ii This paper describes the SPIKE algorithm for solving large banded linear systems using a divide-a...
We propose a parallel sparse triangular linear system solver based on the Spike algorithm. Sparse tr...
A new parallel solver based on SPIKE-TA algorithm has been developed using OpenMP API for solving d...
his paper addresses the problem of minimizing the number of columns with superdiagonal nonzeroes (vi...
We consider the problem of computing a scaling α such that the solution x of the scaled linear syste...
The ScaLAPACK library contains a pair of routines for solving banded linear systems which are strict...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
SPIKE is a parallel algorithm to solve block tridiagonal matrices. In this work, two useful improvem...
This contribution outlines an approach that draws on general purpose graphics processing unit (GPGPU...
We present implementation details of a reordering strategy for permuting elements whose absolute val...
The Parallel Diagonal Dominant (PDD) algorithm is an efficient tridiagonal solver. In this paper, a ...