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Visual footprint table method based on CUDA

Author: TianLiang
Tutor: ZhangErHua
School: Nanjing University of Technology and Engineering
Course: Applied Computer Technology
Keywords: Scientific Visualization The footprints table method Parallel computing GPU CUDA acceleration
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 31
Quote: 0
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Abstract


Theory and technology of computer graphics visualization in scientific computing , scientific computing and engineering survey data in graphical form manifested mainly including surface rendering algorithms and direct volume rendering algorithm . Volume rendering algorithm to generate the overall image of the three-dimensional data , including all details with high image quality , easy to implement parallel processing advantages , but it is computationally intensive , long draw time . As technology advances , the dramatic increase in scale of the three-dimensional data , how to reduce the rendering time while maintaining high image quality has become a visual field of research difficult and hot . Research in this area , using parallel technology combines hardware acceleration to become a highly effective and feasible method . With the launch of the CUDA parallel platform , volume rendering algorithm to accelerate access to new channels . First Sheet-Buffer the footprints table method , the experimental analysis of the factors that affect the image quality . Research and analysis of the defects of the footprint table method , the footprint table method based on the View-Buffer . The improved algorithm to eliminate the the original algorithm Poping aliasing , and improve the quality of the image . In the analysis of the parallelism of the footprint table method , the modified algorithm based on the CPU processes , combined using the GPU CUDA-based parallel platform technology , design, implementation footprint table, parallel algorithm . Experimental results show that the rendering speed of the parallel algorithm has been significantly improved , and keep the original image quality .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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