Add to ORKGPaper at conf. on vector and parallel processors in computatational science 25-28 Aug 1981 (GB)Available from British Library Document Supply Centre- DSC:9091.9F(CSS--116) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...
International audienceSeveral applications in numerical scientific computing involve very large spar...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
Version of paper at conf. on sparse matrices and their uses 9-11 Jul 1980SIGLEAvailable from British...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
Techniques for the vectorization and parallelization of a sequential code for evaluating, one at a t...
Rev. ed.; NATO Workshop on High-speed computation, Julich (DE), 20-22 Jun 1983Available from British...
ProceedingsSponsored by the Office of Naval Research and others.Bibliography: p. 191-210
In this paper, we present a sparse matrix-vector multiplication algorithm for massively-parallel com...
An important kernel of scientific software is the multiplication of a sparse matrix by a vector. The...
(PGAS) language whose popularity has increased during the last years thanks to its high programmabil...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
. The paper describes a parallel algorithm for the LU factorization of sparse matrices on distribute...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...
The matrix-vector product is one of the most important computational components of Krylov methods. T...
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...
International audienceSeveral applications in numerical scientific computing involve very large spar...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
Version of paper at conf. on sparse matrices and their uses 9-11 Jul 1980SIGLEAvailable from British...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
Techniques for the vectorization and parallelization of a sequential code for evaluating, one at a t...
Rev. ed.; NATO Workshop on High-speed computation, Julich (DE), 20-22 Jun 1983Available from British...
ProceedingsSponsored by the Office of Naval Research and others.Bibliography: p. 191-210
In this paper, we present a sparse matrix-vector multiplication algorithm for massively-parallel com...
An important kernel of scientific software is the multiplication of a sparse matrix by a vector. The...
(PGAS) language whose popularity has increased during the last years thanks to its high programmabil...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
. The paper describes a parallel algorithm for the LU factorization of sparse matrices on distribute...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...
The matrix-vector product is one of the most important computational components of Krylov methods. T...
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...
International audienceSeveral applications in numerical scientific computing involve very large spar...
Over the past few years several proposals have been made for the standardization of sparse matrix st...