nbody_sh1p.tar

基于MPI的N皇后问题，且剔除镜像解和旋转解(Of MPI-based N-queens problem and the solution removed the mirror solution and the rotation)

蜘蛛网迭代法做Logistic模型的轨道(Logistic model of iterative methods to make spider web track)

CUDA平行的優化，以矩陣乘法為基礎。透過ShareMemory做加速(CUDA ShareMem)

说明：  C/C++, 多线程编,讲述windows,linux 下多线程开发方法，以及跨平台实现方式，分析线程池设计方案等(C/C++ Multi-line programming)

QR算法是目前最广泛被用于求一般矩阵特征值的方法，但是由于串行算法的时间过于长，大大的降低了工作效率，所以我们将其在基于cuda架构上对其进行GPU加速，将原有的求矩阵特征值得串行算法进行并行化，大大地提高了工作效率

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.)

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.)

应用背景并行计算是最近新兴的一门技术，但是关于并行计算的代码在现在还不是特别普遍。本文是关于折半插入排序的并行计算的应用，希望对您的学习有一定的帮助。关键技术并行计算，多线程，折半插入排序，加速比，并行，串行

Under Windows using winpcap caught and restore data packets, is very good, good

说明：  深度学习的中文版本，里面详细介绍了深度学习的各种算法，其中还有一些用到的基础内容，例如矩阵和向量的范数(Chinese version of the depth of learning, which detailed the depth of learning algorithms, some of which used the basics, such as vector and matrix norm)