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A Study of the Performance Prediction Models of Mobile Graphics Processing Units  

Kim, Cheong Ghil (Department Of Computer Science, Namseoul University)
Publication Information
Journal of the Semiconductor & Display Technology / v.18, no.1, 2019 , pp. 123-128 More about this Journal
Abstract
Currently mobile services are on the verge of full commercialization ahead of 5G mobile communication (5G). The first goal could be to preempt the 5G market through realistic media services utilizing VR (Virtual Reality) and AR (Augmented Reality) technologies that users can most easily experience. Basically this movement is based on the advanced development of smart devices and high quality graphics processing computing power of mobile application processors. Accordingly, the importance of mobile GPUs is emerging and the most concern issue becomes a model for predicting the power and performance for smooth operation of high quality mobile contents. In many cases, the performance of mobile GPUs has been introduced in terms of power consumption of mobile GPUs using dynamic voltage and frequency scaling and throttling functions for power consumption and heat management. This paper introduces several studies of mobile GPU performance prediction model with user-friendly methods not like conventional power centric performance prediction models.
Keywords
Mobile GPU; Virtual Reality; Augmented Reality; Performance Prediction; Power Consumption;
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Times Cited By KSCI : 3  (Citation Analysis)
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