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The Research and Implementation on Large Data Sets Volume Rendering Based on GPU

Author: ZhaoLiPing
Tutor: XiaoDeGui
School: Hunan University
Course: Applied Computer Technology
Keywords: Body compression Vector quantization compression Volume Rendering Graphics processing unit A data processing system
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 213
Quote: 2
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Abstract


Direct volume rendering of large data sets are often limited by the graphics card capacity and main memory to memory bandwidth programmable graphics hardware, resulting in frequent interaction of the body of data between memory and memory become the bottleneck of drawing. The compression volume rendering is a fusion of body compression and volume rendering general method can effectively solve this problem. Key research for GPU (graphics processing unit, graphics processing unit) to extract the large-scale data (seismic data) compression algorithm and draw the accelerated algorithm based on the GPU body, its the main innovations contribution includes three aspects: first proposed kinds efficient large-scale data compression algorithm; then unpack the compressed data in real-time on the GPU, and FBO (frame buffer object frame buffer object) technology and 3D texture mapping method for extracting data accelerated draw; final design and realize an extension of the strong seismic data processing system which and compression volume rendering algorithm is applied to the. First, in order to solve the contradiction between the increasing in the graphics card's memory capacity and the need to draw the massive data capacity proposed a large-scale data vector quantization compression algorithm. First volume data block and zero block classification based on whether the block of data within an average gradient value; then adopted a three-tier structure that represents the gradient nonzero block of the sub-high-rise and the highest level of principal component analysis secession law early code book, and use the LBG algorithm code book optimized and quantified, and its lowest level and the gradient values ??to zero blocks with a given bit quantization. The experimental results indicate that the compression ratio and more than 50 times faster decompression speed can be obtained in the premise of ensure a better quality of image reconstruction algorithm. Second, a new generation of graphics hardware integrated graphics processing unit core programmable vertex shaders and programmable pixel shader rendering techniques to achieve real-time data to provide hardware support. The volume data in real time in order to solve the volume rendering speed and user, the increasingly serious conflict between the demand for interactive proposed efficient vector quantization compression data after decompression, and in real time in the GPU FBO technology and the three-dimensional texture mapping method The decompressed data accelerated drawn experimental results show that, under the precondition of ensuring the quality of image reconstruction and did not take any other acceleration strategy, the drawing speed increased slightly. Finally, three-dimensional and high-dimensional seismic data in real-time visualization technology is currently a hot research topic. The design and implementation of a scalable strong seismic data processing system. Skillfully applied by the agent, the appearance and design patterns, easy solution to the seismic data type of the diversity as well as the expansion of various pre-processing algorithm with a combination of problems, and be able to reduce the degree of coupling of the module to provide a unified interface to other modules. Easily compressed body rendering algorithm integrated into the seismic data processing system, the experimental results show that this method can speed up the drawing of multiple individual data in multiple windows.

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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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