A comparative assessment of OMP and MATLAB for parallel computation

Article type: Research Article

Authors: Dash, Yajnaseni^* | Abraham, Ajith

Affiliations: School of Computer Science Engineering and Technology (SCSET), Bennett University, India

Correspondence: [*] Corresponding author: Yajnaseni Dash, SCSET, Bennett University, India. E-mail: [email protected].

Abstract: The prime goal of parallel computing is the simultaneous parallel execution of several program instructions. Consequently, to accomplish this, the program should be divided into independent sets so that each processor can execute its program part concurrently with the other processors. This study compares OMP and MATLAB, two important parallel computing simulation tools, through the use of a dense matrix multiplication technique. The results showed that OMP outperformed the MATLAB parallel environment by over 8 times in sequential execution and 6 times in parallel execution. From this proposed method, it was also observed that OMP with an even slower processor performs much better than MATLAB with a higher processor. Thus, the present analysis indicates that OMP is a superior environment for parallel computing and should be preferred over parallel MATLAB.

Keywords: Parallel computing, OMP, MATLAB, matrix multiplication

DOI: 10.3233/HIS-240001

Journal: International Journal of Hybrid Intelligent Systems, vol. 20, no. 1, pp. 57-66, 2024