Exploring Parallel Merging In GPU Based System

dc.contributor.author	F. Rahman, Tawsif
dc.date.accessioned	2017-03-08T06:20:52Z
dc.date.available	2017-03-08T06:20:52Z
dc.date.issued	5/12/2016
dc.identifier.uri	http://dspace.ewubd.edu/handle/2525/2091
dc.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.	en_US
dc.description.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).	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West University	en_US
dc.relation.ispartofseries	;CSE00068
dc.subject	GPU Based System	en_US
dc.title	Exploring Parallel Merging In GPU Based System	en_US
dc.type	Thesis	en_US