Evaluation of the parallel computing performances based on the nVIDIA GeForce GPU

About the project

Authors

Mitko Bogdanoski,
Jelena Gjorgjev

 

Publisher

TTEM Journal, Vol.10, No.1, ISSN 1840-1503, DRUNPP, Sarajevo, B&H, 2015

Abstract

Parallel programming is a form of computationВ in which the calculations are carried out simultaneously,В operating on the principle where largeВ problems can be divided into smaller, which areВ then solved in parallel.

Most common this programming is used in highВ performance computing, but due to the physicalВ constraints which prevent frequency scaling theВ interest is even higher. As computers consumptionВ has become a problem in the recent years, the parallelВ programming has grown into the dominantВ paradigm in computer architecture, mainly in theВ form of multi-core processors.

The paper shows the process of designing parallelВ programs and it includes some results obtainedВ by testing the parallel programming performanceВ of different nVIDIA GeForce graphics cards. TheВ purpose of the test is to compare performance ofВ several types of GPUs for various applications.

TheВ results of the test could not specifically say whichВ GPU is best due to the different features of the cards,В but they can be used to determine which card offersВ better performances for different parts of the tests.

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