Name
Abstract | ||
|---|---|---|
Embedded graphic processing unit (GPU) is an indispensable component in enabling real-time rendering and graphic applications on mobile devices. However, embedded GPU consumes a considerable energy [1] which is critical for battery-operated devices. To understand the energy consumption of a graphic application, conventional approaches suggested the energy model based on hardware performance counters. However, those low-level energy models are mainly derived from GPUs of desktop computers, and they cannot be applied to embedded GPUs directly and the low-level models are less intuitive from a programmer's point of view. In this study, we consider a high-level energy consumption model for embedded graphic processors, and then we can estimate energy consumption of a graphic application based on graphic attributes of a scene. We conduct a number of experiments on real platforms to validate the proposed model. Our experimental results demonstrate that an average energy estimation error rate of 7.30% can be achieved. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICDSP.2015.7251839 | 2015 IEEE International Conference on Digital Signal Processing (DSP) |
Keywords | Field | DocType |
Embedded GPU,Graphic Applications,Power Consumption,Energy model,Mobile Devices | Programmer,Computer science,Word error rate,Mobile device,Rendering (computer graphics),Computer hardware,Energy consumption,Energy estimation,Power consumption | Conference |
ISSN | Citations | PageRank |
1546-1874 | 1 | 0.37 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen-Wei Huang | 1 | 125 | 9.03 |
| Yu-An Chung | 2 | 1 | 0.37 |
| Pei Shu Huang | 3 | 1 | 2.06 |
| Shiao-li Tsao | 4 | 396 | 55.77 |