Since the beginning of the 21st century, we observe rapid changes in the area of, broadly understood, computational sciences. One of interesting effects of these changes is the need for reevaluation of the role of dense matrix multiplication. The aim of this paper is two-fold. First, to summarize developments that point toward a need for reconsidering usefulness of matrix multiplication generalized on the basis of the theory of algebraic semirings. Second, to propose generalized matrix-matrix multiply-and-update (MMU) operation and its object oriented model
AbstractThis paper is devoted to the study of lower bounds on the inherent number of additions and s...
The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra l...
We show how to use index notation and sum over row and column indices to perform matrix multiplicati...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Abstract—Recent developments in computational sciences, in-volving both hardware and software, allow...
Explanation of the general method of multiplying two matrices and when matrix multiplication is defi...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
We provide the operations of matrix addition, multiplication, trans-position, and matrix comparisons...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
AbstractThe paper is a systematic survey of recently developed methods for the acceleration of MM, m...
This paper expands the multiplication of the matrix by discussing the results obtained by adding ...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
This paper addresses the problem of algorithm discov-ery, via evolutionary search, in the context of...
This work is comprised of two different projects in numerical linear algebra. The first project is a...
This paper was produced as a result of my interest in metric multiplication of high ordered matrix. ...
AbstractThis paper is devoted to the study of lower bounds on the inherent number of additions and s...
The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra l...
We show how to use index notation and sum over row and column indices to perform matrix multiplicati...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Abstract—Recent developments in computational sciences, in-volving both hardware and software, allow...
Explanation of the general method of multiplying two matrices and when matrix multiplication is defi...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
We provide the operations of matrix addition, multiplication, trans-position, and matrix comparisons...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
AbstractThe paper is a systematic survey of recently developed methods for the acceleration of MM, m...
This paper expands the multiplication of the matrix by discussing the results obtained by adding ...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
This paper addresses the problem of algorithm discov-ery, via evolutionary search, in the context of...
This work is comprised of two different projects in numerical linear algebra. The first project is a...
This paper was produced as a result of my interest in metric multiplication of high ordered matrix. ...
AbstractThis paper is devoted to the study of lower bounds on the inherent number of additions and s...
The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra l...
We show how to use index notation and sum over row and column indices to perform matrix multiplicati...