MyTest

CUDA代码，主要是要实现一个具体ADD操作，并且可以高速在GPU上运行(An Algorithm based on UKF)

cuda资料，对于并行编程很有帮助！该资料描述了cuda的基本信息，以及重要的步骤，让您逐渐上手，轻松掌握cuda并行编程。(cuda information useful for parallel programming! The information describes the cuda s basic information, as well as an important step, so that gradually you get started, easy to master parallel programming cuda.)

mpi的源码，示例程序等，主要用于对mpi并行编程程序的研究。(mpi source code, sample programs, mainly for mpi parallel programming procedures.)

并行计算实验，用于求历史最高气温的算法，包含openmp，pthread，mpi，mapreduce等并行计算算法(algorithm includes openmp，pthread，mpi，mapreduce and so on )

CUDA的基礎的矩陣相乘法，包含CPU版本以及GPU版本(CUDA Matrix)

实现图像文件与.dat文件之间的转换，在DSP程序中输入数据有用。(The realization of image files with the. Dat file conversion between the DSP program useful input data.)

并行程序,并行离散化算法实现，粗糙集数据挖掘程序(Parallel programming, parallel discrete algorithms, rough set data mining program)

fluent udf 实现动态边界条件 并行及串行程序(parallel and series udf based on facets loop)

清华大学郑仰东CUDA教学课件1，是很好的CUDA入门材料(Tsinghua university ZhengAngDong s CUDA teaching courseware 1,a very good CUDA introductory material)

GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值，里面附带论文。用户要求有NViDIA显卡，并且安装cuda编程环境。(We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of development of web search applications on a large number of commodity CPUs. Compared with CPUs, GPUs have an order of magnitude higher computation power and memory bandwidth, but are harder to program since their architectures are designed as a special-purpose co-processor and their programming interfaces are typically for graphics applications.)