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

本代码是CUDA C/C++编程入门者学习的，其中包括对GPU设备参数的获取代码，原子操作，流等代码。初学者掌握并行计算不错的入门程序-The code is CUDA C/C++ beginners to learn programming, including the GPU to get the code of the device parameters, atomic operation, flow, etc. code. Parallel Computing for beginners