Improving Matrix Multiplication Using Parallel Computing
Autor: | Abdullah Alhasanat, Khaled Matrouk, Hasan Al-Shalabi, Ziad A. Alqadi, Haitham A. Alasha'ary |
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Rok vydání: | 2020 |
Předmět: | |
Zdroj: | International Review on Computers and Software (IRECOS). 15:46 |
ISSN: | 2533-1728 1828-6003 |
Popis: | Multiplication of large matrices requires a lot of computation time as its complexity is O(n3). Because most image processing applications require higher computational throughputs with minimum time, many sequential and parallel algorithms are developed. In this paper, a method of matrix multiplication was chosen, and analyzed. A performance analysis was evaluated, and it was seen that the chosen method was very powerful when dealing with matrices with large sizes and implementing the method using parallel computing based on openMP libraries. |
Databáze: | OpenAIRE |
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