Parallel Processing Techniques with MATLAB

Sayed Mohammad Badiezadegan

Abstract: Assuredly, the competency of MATLAB software in scientific and engineering research could not be ignored in this era. With its powerful modules, this software can perform a lot of modern industrial or even medical research efficiently. The biggest stunning point of this outstanding software is that it can process big data even without using supercomputers by taking advantage of multiple and successful parallel processing techniques. The following article will discuss the introduction of MATLAB parallel processing techniques. Afterward, some methods to achieve the best parallel processing performance using the graphics processing unit (GPU) are explained. Finally, the comparison between CPU parallel processing and GPU parallel processing will be discussed.

Keywords: MATLAB, Parallel processing, Multicore processing, GPU processing, Big data processing

How to Cite?: Sayed Mohammad Badiezadegan, "Parallel Processing Techniques with MATLAB", Volume 13 Issue 9, September 2024, International Journal of Science and Research (IJSR), Pages: 1564-1569, https://www.ijsr.net/getabstract.php?paperid=SR24924074404, DOI: https://dx.doi.org/10.21275/SR24924074404