Abstract
Aiming at enhancing the rendering performance of complex natural phenomena such as smoke diffusion, a rendering approach based on Compute Unified Device Architecture (CUDA) and particle system is designed and implemented in this paper. The strategy that host memory resource is mapped to the CUDA memory address, and the technique which uses two-dimensional textured planar graph to simulate the three-dimensional effect combined with CUDA parallel computing (the parallel billboard technique) are integrated applied. The simulation results demonstrate that this proposed approach can effectively accelerate the rendering process, save memory usage, and achieve impressive visual effects.
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He, Y., Mai, J., Tao, F., Zhang, L. (2015). Research and Implementation of Smoke Diffusion Parallel Rendering Based on Memory Mapping and Billboard. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_24
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DOI: https://doi.org/10.1007/978-3-662-45737-5_24
Publisher Name: Springer, Berlin, Heidelberg
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