International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 89 - Number 18 |
Year of Publication: 2014 |
Authors: Mukul Panwar, Monu Kumar, Sanjay Bhargava |
10.5120/15729-4450 |
Mukul Panwar, Monu Kumar, Sanjay Bhargava . GPU Matrix Sort (An Efficient Implementation of Merge Sort). International Journal of Computer Applications. 89, 18 ( March 2014), 9-11. DOI=10.5120/15729-4450
Sorting is one of the frequent used operations in computer science. Due to highly parallel computing nature of GPU architecture; it can be utilized for sorting purpose. We have considered the input array that is to be sorted in a 2D matrix form and applied a modified version of merge sort on that matrix. This modification leads to a much efficient sorting algorithm with reduced complexity. Therefore a lot of work has already been done to improve the efficiency of sorting algorithms. In this paper We have used the GPU architecture for solving the sorting problem.