TY  - JOUR
T1  - High Performance Matrix Inversion for Solving Linear Equations System
AU - A. Lafta, Hussein AU - Abdul-Hassan, Farah 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 23
SP  - 9889
EP  - 9891
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.9889.9891
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.9889.9891
KW  - Matrix inversion
KW  -linear algebra
KW  -parallel computing
KW  -graphical processing units
KW  -coding
KW  -sequential
AB  - The linear algebra for solving a system of linear equations has an important role in many fields of science like Engineering, Physics, Statistics and Computer Science, etc. Matrix inversion play a primary role in solving these equations. A main challenge task is to invert a large-scale matrix with several thousands or millions of rows and columns about 2n<sup>3</sup> floating-point operations. We aimed to solve the system of linear equations based on matrix inversion in a way that achieves a high performance and reduces the time-consuming. In our research, we implement a matrix inversion on programmable Graphics Processors (GPUs) using MATLAB language for programming and Nvidia video card. The results of our method gain a higher performance than the sequential methods with simplicity of coding.
ER  -