Matrix Convolution using Parallel Programming
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Research Paper | Computer Science & Engineering | India | Volume 2 Issue 7, July 2013

Matrix Convolution using Parallel Programming

Anirud Pande, Rohit Chandna

The convolution theorem is used to multiply matrices of two different sizes i. e. matrices in which the number of rows in the first matrix is not equal to the number of columns in the second matrix. In this study, the multiplication of 3*3 and 4*4 matrices was done using MPI. A 3*3 matrix was taken as a filter which was multiplied with different matrices of sizes as big as 1000*1000 and was implemented using OpenCL. Each element of the resultant matrix was calculated both parallelly and sequentially and their performance and efficiency were compared on the basis of execution time.

Keywords: Convolution filter, Bitmap, OpenCL, Kernel

Edition: Volume 2 Issue 7, July 2013

Pages: 286 - 291

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How to Cite this Article?

Anirud Pande, Rohit Chandna, "Matrix Convolution using Parallel Programming", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSROFF2013318, Volume 2 Issue 7, July 2013, 286 - 291

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Matrix Convolution using Parallel Programming

Anirud Pande, Rohit Chandna

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