Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
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 2n3 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.
How to cite this article:
Hussein A. Lafta and Farah Abdul-Hassan. High Performance Matrix Inversion for Solving Linear Equations System.
DOI: https://doi.org/10.36478/jeasci.2018.9889.9891
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.9889.9891