Projects of Power Optimization in Rendering

Members: Rui Wang, Bowen Yu, Hujun Bao

Real-time Rendering on A Power Budget

Rui Wang1, Bowen Yu1, Julio Marco2, Tianlei Hu1, Diego Gutierrez2,3, Hujun Bao1
1State Key Lab of CAD&CG, Zhejiang University     2Universidad de Zaragoza     3I3A Institute

ACM Transactions on Graphics (TOG), 35(4), 11 pages, ACM SIGGRAPH 2016

Abstract:

With recent advances on mobile computing, power consumption has become a significant limiting constraint for many graphics applications. As a result, rendering on a power budget arises as an emerging demand. In this paper, we present a real-time, poweroptimal rendering framework to address this problem, by finding the optimal rendering settings that minimize power consumption while maximizing visual quality. We first introduce a novel powererror, multi-objective cost space, and formally formulate power saving as an optimization problem. Then, we develop a two-step algorithm to efficiently explore the vast power-error space and leverage optimal Pareto frontiers at runtime. Finally, we show that our rendering framework can be generalized across different platforms, desktop PC or mobile device, by demonstrating its performance on our own OpenGL rendering framework, as well as the commercially available Unreal Engine.

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