Matrix multiplication is an operation that produces a matrix from two matrices and its applications are vast and of great importance to many fields of engineering. In the modern age of technology, the study of how to improve the speed of computing matrix multiplications is still of great interest to computer scientists. The reason for such an interest is the need to improve the processing speeds of computers where many basic functions may require many rounds of matrix multiplications and reducing the time required for each round of matrix multiplication can greatly reduce the total processing time for each function. In this study, the author will attempt to devise a faster method for computing matrix multiplications with the use of mathema...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
Parallel algorithms play an imperative role in the high performance computing environment. Dividing ...
The implementations of matrix multiplication on contemporary, vector-oriented, and multicore-oriente...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
This paper talks about different types of algorithms fro matrix multiplication when applied to paral...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
Fast algorithms for matrix multiplication, namely those that perform asymptotically fewer scalar ope...
In Matrix multiplication we refer to a concept that is used in technology applications such as digit...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Win...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
Parallel algorithms play an imperative role in the high performance computing environment. Dividing ...
The implementations of matrix multiplication on contemporary, vector-oriented, and multicore-oriente...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
This paper talks about different types of algorithms fro matrix multiplication when applied to paral...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
Fast algorithms for matrix multiplication, namely those that perform asymptotically fewer scalar ope...
In Matrix multiplication we refer to a concept that is used in technology applications such as digit...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Win...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
Parallel algorithms play an imperative role in the high performance computing environment. Dividing ...
The implementations of matrix multiplication on contemporary, vector-oriented, and multicore-oriente...