V. CONCLUSION
In this study, we established an energy model for the embedded
GPUs that only requires high-level graphics parameters. The energy
model is tailored for the architecture of with tiling and HSR designs
specifically for the resource constrained embedded GPUs. Results
show that the average energy error rate of the model is only 8.2%.
With this energy model, graphics developers can understand how
much application-level parameters influence the energy consumption
of the program, and can thus adjust the parameters to tradeoff the
energy consumption and the quality of the 3D graphic rendering.