Hussein  A. Lafta, Farah  Abdul-Hassan, 
    High Performance Matrix Inversion for Solving Linear Equations System,
    Journal of Engineering and Applied Sciences,
    Volume 13,Issue 23,
    2018,
    Pages 9889-9891,
    ISSN 1816-949x,
    jeasci.2018.9889.9891,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2018.9889.9891)
    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 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.
    Keywords: Matrix inversion;linear algebra;parallel computing;graphical processing units;coding;sequential