基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc

本文详细分析了Tesla GPU图形与计算架构和CUDA统一计算设备架构，详细描述了如何对计算任务进行并行分解，并通过CUDA的双层并行编程模型映射到Tesla GPU上。 在本文的实现部分，以软件开发流程为主线，描述了如何利用CUDA实现模式识别中的三种常用算法-The paper analyzed the Tesla GPU computing architecture and CUDA graphics and computing devices unified architecture,

这是论文 On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods 的配套代码,对于了解GPU cuda并行编程有用.-This is the thesis " On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Mo