Exploring Parallel Merging In GPU Based System
Date
5/12/2016
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Publisher
East West University
Abstract
We present a program that implemented to execute Adaptive merge sort algorithm in parallel on a GPU based system. Parallel implementation is used to get better performance than serial implementation in runtime perspective. Parallel implementation executes independent executable operation in parallel using large number of cores in GPU based system. Results from a parallel implementation of the algorithm is given and compared with its serial implementation on runtime basis. The parallel version is implemented with CUDA platform in a system based on NVIDIA GPU (GTX 650).
Description
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh.
Keywords
GPU Based System