International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 128 | Views: 202

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 7, July 2013 | Rating: 6.6 / 10


Matrix Convolution using Parallel Programming

Anirud Pande | Rohit Chandna


Abstract: 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


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top