In Matrix multiplication we refer to a concept that is used in technology applications such as digital image processing, digital signal processing and graph problem solving. Multiplication of huge matrices requires a lot of computing time as its complexity is O n3 . Because most engineering science applications require higher computational throughput with minimum time, many sequential and analogue algorithms are developed. In this paper, methods of matrix multiplication are elect, implemented, and analyzed. A performance analysis is evaluated, and some recommendations are given when using open MP and MPI methods of parallel of latitude computing. Adamu Abubakar I | Oyku A | Mehmet K | Amina M. Tako "Comprehensive Performance Evaluation on M...
When seen from the development of parallel computing technology today, the cluster systems r...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
A number of parallel formulations of dense matrix multiplication algorithm have been developed. For ...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Parallel algorithms play an imperative role in the high performance computing environment. Dividing ...
(parallel computers and algorithms too). In this sense the paper is devoted to a complex performance...
Abstract: The convolution theorem is used to multiply matrices of two different sizes i.e. matrices ...
ABSTRACT: In this paper, we have proposed one designs for matrix-matrix multiplication. The one desi...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
This paper talks about different types of algorithms fro matrix multiplication when applied to paral...
Parallel computing on networks of workstations are intensively used in some application areas such a...
When seen from the development of parallel computing technology today, the cluster systems r...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
A number of parallel formulations of dense matrix multiplication algorithm have been developed. For ...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Parallel computing on networks of workstations are intensively used in some application areas such a...
Parallel algorithms play an imperative role in the high performance computing environment. Dividing ...
(parallel computers and algorithms too). In this sense the paper is devoted to a complex performance...
Abstract: The convolution theorem is used to multiply matrices of two different sizes i.e. matrices ...
ABSTRACT: In this paper, we have proposed one designs for matrix-matrix multiplication. The one desi...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
This paper talks about different types of algorithms fro matrix multiplication when applied to paral...
Parallel computing on networks of workstations are intensively used in some application areas such a...
When seen from the development of parallel computing technology today, the cluster systems r...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
A number of parallel formulations of dense matrix multiplication algorithm have been developed. For ...