Comparison of Parallel and Sequential Algorithm in Terms of Time Required for Analysis of Given Data Set

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Category: 
Part4
Author: 
N. M. Sonawane, Computer Engineering Department Late G. N. Sapkal College of Engineering,Anjneri, Nashik University of Pune,Maharastra,India
Prof. B. R. Nandwalkar, Computer Engineering Department Late G. N. Sapkal College of Engineering,Anjneri, Nashik University of Pune,Maharastra,India
Abstract: 

The parallel programming language like Open Computing Language is used to implement the parallel sent bit algorithm. The aim of proposed system is that to improve performance of existing system. The modules execute on parallel processors and then store the result on shared memory. The processing of large blocks of data is done in parallel by using modern GPU’s highly parallel structure which makes them more effective than general-purpose CPUs for algorithms. The use of a GPU (graphics processing unit) together with a CPU is nothing but GPU computing which is use to accelerate general-purpose scientific and engineering applications. CPU contains little number of cores whereas GPU contains 100s of cores to process data in parallel. We can compare the speed up in the system by measuring time for execution on same data set for both sequential and parallel implementation. It would be interesting to develop a version of SentBit that is optimized to use a GPU processor.

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