The paper presents two options of the parallel algorithm for finding the shortest covering of a large Boolean matrix, where the decomposition of the initial matrix into matrices of smaller sizes is based on the partitioning of rows. The parallel algorithm COVMB contains sequential algorithms for partitioning of initial m × n Boolean matrix on submatrices, building special matrices, summering of the shortest coverings of special Boolean matrices with smaller sizes as well as the sequential algorithm SECNOP for finding the shortest coverings of smaller Boolean matrices
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose ...
AbstractHighly parallel algorithms computing the inverse, discrete roots, or a large power modulo a ...
In this paper we present a parallel formulation of the multilevel graph partitioning and sparse matr...
The paper presents two options of the parallel algorithm for finding the shortest covering of a larg...
The paper presents results of investigations of the efficiency of a parallel program for the solutio...
Abstract—This paper aims at better possibilities to solve problems of exponential complexity. Our sp...
Small sample spaces with almost independent random variables are applied to design efficient sequent...
We give a parallel algorithm for the problem of computing the row minima of a totally monotone two-d...
The paper presents two parallel algorithms for finding the rank of a rectangular matrix and two para...
AbstractThe matrix-vector multiplication operation is the kernel of most numerical algorithms.Typica...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
The Bulk-Synchronous Parallel (BSP) model of computation has been proposed by L.G. Valiant as a unif...
AbstractFast parallel algorithms are presented for computation of the determinant, adjoint, characte...
In this paper we present two versions of a parallel algorithm to solve the block–Toeplitz least-squa...
The sparse matrix partitioning problem arises when minimizing communication in parallel sparse matri...
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose ...
AbstractHighly parallel algorithms computing the inverse, discrete roots, or a large power modulo a ...
In this paper we present a parallel formulation of the multilevel graph partitioning and sparse matr...
The paper presents two options of the parallel algorithm for finding the shortest covering of a larg...
The paper presents results of investigations of the efficiency of a parallel program for the solutio...
Abstract—This paper aims at better possibilities to solve problems of exponential complexity. Our sp...
Small sample spaces with almost independent random variables are applied to design efficient sequent...
We give a parallel algorithm for the problem of computing the row minima of a totally monotone two-d...
The paper presents two parallel algorithms for finding the rank of a rectangular matrix and two para...
AbstractThe matrix-vector multiplication operation is the kernel of most numerical algorithms.Typica...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
The Bulk-Synchronous Parallel (BSP) model of computation has been proposed by L.G. Valiant as a unif...
AbstractFast parallel algorithms are presented for computation of the determinant, adjoint, characte...
In this paper we present two versions of a parallel algorithm to solve the block–Toeplitz least-squa...
The sparse matrix partitioning problem arises when minimizing communication in parallel sparse matri...
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose ...
AbstractHighly parallel algorithms computing the inverse, discrete roots, or a large power modulo a ...
In this paper we present a parallel formulation of the multilevel graph partitioning and sparse matr...