@article{MAKHILLJEAS2018132317201,
    title = {High Performance Matrix Inversion for Solving Linear Equations System},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {23},
    pages = {9889-9891},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.9889.9891},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.9889.9891},
    author = {Hussein and},
    keywords = {Matrix inversion,linear algebra,parallel computing,graphical processing units,coding,sequential},
    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.}
    }