In this paper, we outline a method for carrying out efficient (max, +) matrix multiplication when using the heaps of pieces framework. We present an algorithm for multiplying an arbitrary m by r matrix X by a r by r heaps of pieces matrix M, making it possible to calculate the resulting matrix in worst case time complexity O(mr), rather than O(mr2) which is required when using the matrix multiplication definition. We also give an algorithm for multiplying M by an arbitrary r by n matrix X with worst case time complexity O(nr). Finally, we consider a variant of the standard heaps of pieces model, and present an improved matrix multiplication algorithm for this variant as well.Published versio
AbstractThe complexity of matrix multiplication has attracted a lot of attention in the last forty y...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
These notes are based on a lecture given at the Toronto Student Seminar on February 2, 2012. The mat...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
This paper was produced as a result of my interest in metric multiplication of high ordered matrix. ...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
A number of parallel formulations of dense matrix multiplication algorithm have been developed. For ...
In this report, we consider a simple but important linear algebra kernel, matrix-matrix multiplicati...
AbstractWe consider the problem of finding a basic solution to a system of linear constraints (in st...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
Motivated by applications in which the data may be formulated as a matrix, we consider algorithms fo...
This paper considers the computation of matrix chain products of the form M1 x M2 x ... M(n-1). The ...
International audienceWe propose several new schedules for Strassen-Winograd's matrix multiplication...
AbstractA new improvement of author's techniques of trilinear aggregating, uniting and canceling, is...
In this thesis it is showed how an \(O(n^{4-\epsilon})\) algorithm for the cube multiplication probl...
AbstractThe complexity of matrix multiplication has attracted a lot of attention in the last forty y...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
These notes are based on a lecture given at the Toronto Student Seminar on February 2, 2012. The mat...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
This paper was produced as a result of my interest in metric multiplication of high ordered matrix. ...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
A number of parallel formulations of dense matrix multiplication algorithm have been developed. For ...
In this report, we consider a simple but important linear algebra kernel, matrix-matrix multiplicati...
AbstractWe consider the problem of finding a basic solution to a system of linear constraints (in st...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
Motivated by applications in which the data may be formulated as a matrix, we consider algorithms fo...
This paper considers the computation of matrix chain products of the form M1 x M2 x ... M(n-1). The ...
International audienceWe propose several new schedules for Strassen-Winograd's matrix multiplication...
AbstractA new improvement of author's techniques of trilinear aggregating, uniting and canceling, is...
In this thesis it is showed how an \(O(n^{4-\epsilon})\) algorithm for the cube multiplication probl...
AbstractThe complexity of matrix multiplication has attracted a lot of attention in the last forty y...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
These notes are based on a lecture given at the Toronto Student Seminar on February 2, 2012. The mat...