MyTest

cuda_by_example 原版 中文版 程例(cuda by example)

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)

Hight Performance Computing Demos

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.)

mandelbrot set sequential code for mpi

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)

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)

OpenCL中文教程(AMD),最好的OpenCL教程，介绍了AMD显卡的OpenCL编程，其中有大量例程，并介绍了OpenCL优化方法(OpenCL Chinese tutorial (AMD), the best OpenCL tutorial introduces the AMD OpenCL graphics programming, including a large number of routines, and introduces OpenCL optimization method)

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