节点文献
Power Consumption Optimization for 3D Graphics Rendering
【摘要】 This paper studies some programming techniques for low power rendering for 3 D graphics. These techniques are derived from analysis and simulation results of hardware circuits of GPU. Although low power3 D graphics hardware design has been studied by other researchers,low power programming techniques from hardware perspective have not been investigated in depth. There are many factors that affect 3 D graphics rendering performance,such as the number of vertices,vertex sharing,level of details,texture mapping,and rendering algorithms. An analytical study of graphics rendering workload is performed and the effect of a number of programming tips such as vertex sharing,clock gating and buffering of unmoving or translational objects is deeply studied. The results presented in this paper can be used to guide 3 D graphics programming for optimizing both power consumption and performance.
【Abstract】 This paper studies some programming techniques for low power rendering for 3 D graphics. These techniques are derived from analysis and simulation results of hardware circuits of GPU. Although low power3 D graphics hardware design has been studied by other researchers,low power programming techniques from hardware perspective have not been investigated in depth. There are many factors that affect 3 D graphics rendering performance,such as the number of vertices,vertex sharing,level of details,texture mapping,and rendering algorithms. An analytical study of graphics rendering workload is performed and the effect of a number of programming tips such as vertex sharing,clock gating and buffering of unmoving or translational objects is deeply studied. The results presented in this paper can be used to guide 3 D graphics programming for optimizing both power consumption and performance.
【Key words】 GPU; 3D graphics rendering; low power; workload; vertex sharing; graphics programming;
- 【文献出处】 Journal of Harbin Institute of Technology(New Series) ,哈尔滨工业大学学报(英文版) , 编辑部邮箱 ,2019年01期
- 【分类号】TP391.41
- 【网络出版时间】2017-12-05 16:42
- 【下载频次】28