Description: The paper analyzed the Tesla GPU computing architecture and CUDA graphics and computing devices unified architecture, a detailed description of how parallel computing tasks broken down and through the double CUDA parallel programming model is mapped to the Tesla GPU. In the implementation section of this article, the main line to the software development process, describes how to use CUDA to achieve the three commonly used pattern recognition algorithms
- [thesis] - describes effective method of volume ren
- [GPUCUDA] - " GPU for high-performance computing
- [CUDAMCML] - basic CUDA GPU MCML source file
- [CUDA-ShapeContext] - Architecture) parallel processing platfo
- [Convolucao_2D] - Image convolution with CUDA. You need a
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模式识别并行算法与GPU高速实现研究.pdf
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