Graphical Processing Unit and Central Processing Unit Performance in Human-Computer Interaction

Abstract

The Graphical Processing Units (GPU) and Central Processing Units (CPU) performance in Human-Computer Interaction (HCI) has improved in recent years. Many researchers have worked in comparative analysis of GPU and CPU, but a lacuna was discovered in the area of importance of HCI-which is securing user satisfaction. This paper aims to review the performance evaluation of CPU and GPU systems. Questionnaire and experimental models were used for evaluation. Questionnaires were distributed to evaluate the level of user satisfaction, using demands and usability parameters. In experimental models, tools of evaluation were downloading PDF and text
files. Parameters used to assess satisfaction were speed, storage capacity and execution time. The results of the evaluated performances on GPU and CPU systems based on the evaluation parameters were derived from the questionnaire and experimental data. Questionnaire results have shown that a lesser number of users demand GPU due to its high price, and a large number of users demand CPU due to its low cost of finance, despite its disadvantages. Based on the experimental model, resources were tested for two weeks with different test data and environments which showed that the GPU works faster than the CPU in terms of speed and storage capacity. The results of the functionality and performance level of the two processors showed how GPU obeys the laws of the user interface design principle and satisfied the importance of HCI by securing user satisfaction. Users in the area of Photography, Cinema, Film Production companies, etc. should be engaged with the use of GPU than CPU systems.