We show that any n × n matrix A over any finite semiring can be preprocessed in O(n 2+ε) time, such that all subsequent vector multiplications with A can be performed in O(n²/(ε log n) 2) time, for all ε> 0. The approach is combinatorial and can be implemented on a pointer machine or a (log n)-word RAM. Some applications are described
Some level-2 and level-3 Distributed Basic Linear Algebra Subroutines (DBLAS) that have been impleme...
We revisit the fundamental Boolean Matrix Multiplication (BMM) problem. With the invention of algebr...
This paper describes a new algorithm for computing linear generators (vector generating polynomials)...
AbstractIn this paper the problem of complexity of multiplication of a matrix with a vector is studi...
We show how to solve a number of problems in numerical linear algebra, such as least squares regress...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Win...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThis paper describes a new algorithm for computing linear generators (vector generating poly...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
International audienceWe propose several new schedules for Strassen-Winograd's matrix multiplication...
We give a parallel algorithm for computing all row minima in a totally monotone $n\times n$ matrix w...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
AbstractWe present an efficient parallel implementation of matrix-vector multiplication on a binary ...
Some level-2 and level-3 Distributed Basic Linear Algebra Subroutines (DBLAS) that have been impleme...
We revisit the fundamental Boolean Matrix Multiplication (BMM) problem. With the invention of algebr...
This paper describes a new algorithm for computing linear generators (vector generating polynomials)...
AbstractIn this paper the problem of complexity of multiplication of a matrix with a vector is studi...
We show how to solve a number of problems in numerical linear algebra, such as least squares regress...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Win...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThis paper describes a new algorithm for computing linear generators (vector generating poly...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
International audienceWe propose several new schedules for Strassen-Winograd's matrix multiplication...
We give a parallel algorithm for computing all row minima in a totally monotone $n\times n$ matrix w...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
AbstractWe present an efficient parallel implementation of matrix-vector multiplication on a binary ...
Some level-2 and level-3 Distributed Basic Linear Algebra Subroutines (DBLAS) that have been impleme...
We revisit the fundamental Boolean Matrix Multiplication (BMM) problem. With the invention of algebr...
This paper describes a new algorithm for computing linear generators (vector generating polynomials)...