CUDA_Matrix

fluent udf 实现动态边界条件 并行及串行程序(parallel and series udf based on facets loop)

compilateur de code source

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))

cuda_by_example 原版 中文版 程例(cuda by example)

AMD显卡编程的一些官方参考资料,与nVidia的cuda编程相似(reference materials on AMD APP programming)

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

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的源码，示例程序等，主要用于对mpi并行编程程序的研究。(mpi source code, sample programs, mainly for mpi parallel programming procedures.)

多核编程，比 OPENCL 简单 可以通过类似 OPENMP 的方式，简洁的实现异构编程，使用 GPU 计算(Multicore programming than simple OPENCL)

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