Logistic

SOR(Successive Over-Relaxation) 又名逐次超松弛法，是解决微分方程的一种通用算法，主要应用在解决拉普拉斯方程、肥皂泡形状等的问题上。本程序使用CUDA来实现sor，并且包含两种方法，一种是单一block运算整个矩阵，每个thread运算矩阵中的一个方块。一种是多个block运算整个矩阵，每个thread运算矩阵中的一个点。该程序有良好的注释，适合初学者学习。

MPI.net tool for MPI setup for all applications that using MPI

MPI编程的典型案例，适合初学者学习使用，有很大的帮助作用(MPI programming typical case, suitable for beginners to learn to use, there are very helpful)

在 win32 中的 Multithreadingapplications。C 编程在多线程环境中的 windows levelapplication 源代码。Multithreadin windows 系统很好的书。

优化发动机传动比参数，使目标函数值最小，同时保持参数满足约束条件。(Optimizing Engine Drive Ratio Parameters)

采用改进的三维Hasin准则，考虑基体和纤维损伤，以及复合材料分层损伤( U91C7 u7539 u659 u8F09 u7F4 u7R4 u7354 u03 U6599 u5206 u5C42 u635F u4F24)

说明：  用matlab 2007以上版本的并行计算工具箱和分布式计算引擎进行并行计算编程的示例代码，具有极高的参考价值，与user s guide同步(Matlab 2007 with the above version of the Parallel Computing Toolbox and Distributed Computing Programming parallel computing engine for the sample code has a very high reference value, and user' s guide synchronization)

说明：  对滑动轴承由油膜剪切力产生的摩擦力用matlab进行求解(The friction force produced by the shear force of the sliding bearing is solved by MATLAB.)

左矩阵A是m×s，右矩阵B是s×n，结果矩阵C是m×n。

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.)