final

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)

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.)

并行计算实验，用于矩阵乘法的计算，canon算法，使用mpi方法(algorithm includes openmp，pthread，mpi，mapreduce and so on )

mandelbrot set sequential code for mpi

CUDA并行计算的讲义，NVDIA培训专用，最全资料。(CUDA parallel)

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

一些关于并行计算的资料，对初学并行计算的人会有些许帮助(Information about parallel computing, parallel computing for beginners who have a little help)

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)

并行归并排序算法，基于mpi的并行归并排序算法(A parallel merge sort algorithm)

基于C语言的MPICH程序，实现矩阵相乘(C-based MPICH program, to achieve matrix multiplication)