The explicit Spike algorithm applies to narrow banded linear systems which are strictly diagonally dominant by rows. The parallel bottleneck is the solution of the so-called reduced system which is block tridiagonal and strictly diagonally dominant by rows. The reduced system can be solved iteratively using the truncated reduced system matrix as a preconditioner. In this paper we derive a tight estimate for the quality of this preconditioner
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
The block preconditioned conjugate gradient (BPCG) methods, even if very effective for solving the l...
his paper addresses the problem of minimizing the number of columns with superdiagonal nonzeroes (vi...
The truncated SPIKE algorithm is a parallel solver for linear systems which are banded and strictly ...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
ii This paper describes the SPIKE algorithm for solving large banded linear systems using a divide-a...
With availability of large-scale parallel platforms comprised of tens-of-thousands of processors and...
The emergence of multicore architectures and highly scalable platforms motivates the development of ...
The SPIKE algorithm [1, 2] is an efficient generic divide-and-conquer algorithm for solving banded s...
This contribution outlines an approach that draws on general purpose graphics processing unit (GPGPU...
. We propose a stable algorithm for the parallel solution of banded and periodically banded linear s...
We propose a parallel sparse triangular linear system solver based on the Spike algorithm. Sparse tr...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
Tridiagonal diagonally dominant linear systems arise in many scientific and engineering applications...
We present implementation details of a reordering strategy for permuting elements whose absolute val...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
The block preconditioned conjugate gradient (BPCG) methods, even if very effective for solving the l...
his paper addresses the problem of minimizing the number of columns with superdiagonal nonzeroes (vi...
The truncated SPIKE algorithm is a parallel solver for linear systems which are banded and strictly ...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
ii This paper describes the SPIKE algorithm for solving large banded linear systems using a divide-a...
With availability of large-scale parallel platforms comprised of tens-of-thousands of processors and...
The emergence of multicore architectures and highly scalable platforms motivates the development of ...
The SPIKE algorithm [1, 2] is an efficient generic divide-and-conquer algorithm for solving banded s...
This contribution outlines an approach that draws on general purpose graphics processing unit (GPGPU...
. We propose a stable algorithm for the parallel solution of banded and periodically banded linear s...
We propose a parallel sparse triangular linear system solver based on the Spike algorithm. Sparse tr...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
Tridiagonal diagonally dominant linear systems arise in many scientific and engineering applications...
We present implementation details of a reordering strategy for permuting elements whose absolute val...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
The block preconditioned conjugate gradient (BPCG) methods, even if very effective for solving the l...
his paper addresses the problem of minimizing the number of columns with superdiagonal nonzeroes (vi...