cuda-by-example

格子Boltzmann方法 格子Boltzmann方法是为了保留格子气自动机方法的优点，克服其缺点而发展起来的方法。 特别是1992年，钱跃弘、陈十一等的开创性工作(提出LBGK模型方法)，使该方法广泛地应用到计算流体力学(单相流、多相流、多孔介质流、热对流、磁流体、反应-扩散等)。 (Lattice Boltzmann method of lattice Boltzmann method is to retain the lattice gas automata method has the advantage to overcome its shortcomings and has developed methods. Especially in 1992, Qian Yue-hong, Chen XI, such as the pioneering work (LBGK model proposed method), so that the method widely used in computational fluid dynamics (single-phase flow, multiphase flow, porous media flow, thermal convection, magnetic fluid, the reaction- the proliferation, etc.).)

在学完了并行计算和OPGL之后，努力做了这个程序。小有成就感，还需及需努力(Finished school and OPGL parallel computing efforts, after doing this procedure. Modicum of success a sense of need and the need to)

compilateur de code source

说明：  计算π值 C++ 并行算法 分别使用方法左矩形分解、中矩形分解以及梯形分解(π C++ MPI π C++ MPI π C++ MPI π C++ MPI)

用CUDA的SAR面目标回波生成的代码。(Multiple points SAR echo simulation Algorithm based on GPU via CUDA)

高教出版社的《并行算法实践》一书的源代码，内容为MPI程序源代码(Higher Education Publishing House s Parallel Algorithm for the practice of the book s source code, content for the MPI source code)

说明：  主要是自己学习时做的习题，希望对你有帮助(Mainly to their own learning exercises to do, want to help you)

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.)

MPI编程－Nbody问题并行程序（计算1000个天体的移动，天体数据由文件sample_input.in读入，结果输出到文件result1000.data）(MPI Programming-Nbody Parallel (1000 calculated the movement of celestial bodies, Objects sample_input.in data from the document read into, Results output to a file result1000.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)