Memory-Efficient Single-Pass GPU Rendering of Multi-fragment Effects

Wencheng Wang, Guofu Xie
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
IEEE Transactions on Visualization and Computer Graphics, 2012


   title={Memory-Efficient Single-Pass GPU Rendering of Multi-fragment Effects},

   author={Wang, W. and Xie, G.},

   journal={IEEE Transactions on Visualization and Computer Graphics},




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Rendering multi-fragment effects using GPUs is attractive for high speed. However, the efficiency is seriously compromised, because ordering fragments on GPUs is not easy and the GPU’s memory may not be large enough to store the whole scene geometry. Hitherto, existing methods have been unsuitable for large models or have required many passes for data transmission from CPU to GPU, resulting in a bottleneck for speedup. This paper presents a stream method for accurate rendering of multi-fragment effects. It decomposes the model into parts and manages these in an efficient manner, guaranteeing that the parts can easily be ordered with respect to any viewpoint, and that each part can be rendered correctly on the GPU. Thus, we can transmit the model data part by part, and once a part has been loaded onto the GPU we immediately render it and composite its result with the results of the processed parts. In this way, we need only a single pass for data access with a very low bounded memory requirement. Moreover, we treat parts in packs for further acceleration. Results show that our method is much faster than existing methods, and can easily handle large models of any size.
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