Abstract.With the development of CUDA architecture and GPU technologies, parallel rendering technologys have been developed rapidly. There are already some parallel rendering frameworks, such as Chromium, MPK, VR Juggler, etc., but these systems have obvious flaws.In this paper,GGPRF: a GPU-Based Generic Parallel Rendering Framework is proposed. The framework contains three roles, Master, Server, and Slave, which are responsible for rendering task drivers, cluster management, and rendering. Server manages the entire parallel rendering system's organizational structure through the NTTree (Network Topological Tree) data structure. GGPRFhas improved the shortcomings of the existing universal parallel rendering framework, which has the advantages of universal, extensibility and ease of use. In this paper, the design of the frame is described in detail and the experiment is tested.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.