Add to ORKGIn this paper we present a new parallel algorithm for the LU decomposition of a general sparse matrix. Among its features are matrix redistribution at regular intervals and a dynamic pivot search strategy that adapts itself to the number of pivots produced. Experimental results obtained on a network of 400 transputers show that these features considerably improve the performance.
In this paper, we present the main algorithmic features in the software package SuperLU_DIST, a dis...
In this paper, we present the main algorithmic features in the software package SuperLU{_}DIST, a di...
We present an out-of-core sparse nonsymmetric LU-factorization algorithm with partial pivoting. We h...
In this paper we present a new parallel algorithm for the LU decomposition of a general sparse matri...
Abstract. A parallel algorithm is presented for the LU decomposition of a general sparse matrix on a...
This thesis presents a parallel algorithm for the direct LU factorization of general unsymmetric spa...
This thesis presents a parallel algorithm for the direct LU factorization of general unsymmetric spa...
. Solving large nonsymmetric sparse linear systems on distributed memory multiprocessors is an activ...
LU decomposition is intensively used in various scientific and engineering computations. A parallel ...
AbstractLU decomposition is intensively used in various scientific and engineering computations. A p...
This paper presents a comparative study of two data mapping schemes for parallel sparse LU factoriza...
This paper presents a comparative study of two data mapping schemes for parallel sparse LU factoriza...
. Solving large nonsymmetric sparse linear systems on distributed memory multiprocessors is an activ...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper describes ...
. The paper describes a parallel algorithm for the LU factorization of sparse matrices on distribute...
In this paper, we present the main algorithmic features in the software package SuperLU_DIST, a dis...
In this paper, we present the main algorithmic features in the software package SuperLU{_}DIST, a di...
We present an out-of-core sparse nonsymmetric LU-factorization algorithm with partial pivoting. We h...
In this paper we present a new parallel algorithm for the LU decomposition of a general sparse matri...
Abstract. A parallel algorithm is presented for the LU decomposition of a general sparse matrix on a...
This thesis presents a parallel algorithm for the direct LU factorization of general unsymmetric spa...
This thesis presents a parallel algorithm for the direct LU factorization of general unsymmetric spa...
. Solving large nonsymmetric sparse linear systems on distributed memory multiprocessors is an activ...
LU decomposition is intensively used in various scientific and engineering computations. A parallel ...
AbstractLU decomposition is intensively used in various scientific and engineering computations. A p...
This paper presents a comparative study of two data mapping schemes for parallel sparse LU factoriza...
This paper presents a comparative study of two data mapping schemes for parallel sparse LU factoriza...
. Solving large nonsymmetric sparse linear systems on distributed memory multiprocessors is an activ...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper describes ...
. The paper describes a parallel algorithm for the LU factorization of sparse matrices on distribute...
In this paper, we present the main algorithmic features in the software package SuperLU_DIST, a dis...
In this paper, we present the main algorithmic features in the software package SuperLU{_}DIST, a di...
We present an out-of-core sparse nonsymmetric LU-factorization algorithm with partial pivoting. We h...