We present the results of numerical experiments aimed at comparing two recently proposed sparse approximate inverse preconditioners from the point of view of robustness, cost, and effectiveness. Results for a standard ILU preconditioner are also included. The numerical experiments were carried out on a Cray C98 vector processor
A sparse approximate inverse technique is introduced to solve general sparse linear systems. The spa...
. This paper is concerned with a new approach to preconditioning for large, sparse linear systems. A...
The authors describe and test spai_1.1, a parallel MPI implementation of the sparse approximate inv...
We present the results of numerical experiments aimed at comparing two recently proposed sparse appr...
A number of recently proposed preconditioning techniques based on sparse approximate inverses are co...
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...
We investigate the use of sparse approximate inverse techniques in a multilevel block ILU preconditi...
The class of preconditioning that approximates the inverse of the matrix A is studied in the thesis....
This paper is concerned with a new approach to preconditioning for large, sparse linear systems. A p...
Simulation with models based on partial differential equations often requires the solution of (seque...
In this paper, we analyze the properties of the sparse approximate inverse precon-ditioner, and prov...
We introduce a novel strategy for parallel preconditioning of large-scale linear systems by means of...
Preconditioning techniques based on ILU decomposition, on Frobenius norm minimization and on factori...
Abstract. We investigate the use of sparse approximate-inverse preconditioners for the iterative sol...
The popularity of GPGPUs in high performance platforms for scientific computing in recent times has...
A sparse approximate inverse technique is introduced to solve general sparse linear systems. The spa...
. This paper is concerned with a new approach to preconditioning for large, sparse linear systems. A...
The authors describe and test spai_1.1, a parallel MPI implementation of the sparse approximate inv...
We present the results of numerical experiments aimed at comparing two recently proposed sparse appr...
A number of recently proposed preconditioning techniques based on sparse approximate inverses are co...
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...
We investigate the use of sparse approximate inverse techniques in a multilevel block ILU preconditi...
The class of preconditioning that approximates the inverse of the matrix A is studied in the thesis....
This paper is concerned with a new approach to preconditioning for large, sparse linear systems. A p...
Simulation with models based on partial differential equations often requires the solution of (seque...
In this paper, we analyze the properties of the sparse approximate inverse precon-ditioner, and prov...
We introduce a novel strategy for parallel preconditioning of large-scale linear systems by means of...
Preconditioning techniques based on ILU decomposition, on Frobenius norm minimization and on factori...
Abstract. We investigate the use of sparse approximate-inverse preconditioners for the iterative sol...
The popularity of GPGPUs in high performance platforms for scientific computing in recent times has...
A sparse approximate inverse technique is introduced to solve general sparse linear systems. The spa...
. This paper is concerned with a new approach to preconditioning for large, sparse linear systems. A...
The authors describe and test spai_1.1, a parallel MPI implementation of the sparse approximate inv...
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