mpi_io_test_21.tar

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

用于fluent脉冲热源边界条件的udf(UDF for the boundary condition of fluent pulse heat source)

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.)

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)

CUDA代码，主要是要实现一个具体ADD操作，并且可以高速在GPU上运行(An Algorithm based on UKF)

mandelbrot set sequential code for mpi

说明：  MPI的工具 MPI_tuning_ClusterTools Selective_Tracing_and_Filtering.zip(MPI tools MPI_tuning_ClusterTools Selective_Tracing_and_Filtering.zip)

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)

并行图像细化算法和C代码实现，希望对大家有用(parallel image thinning algorithm and C code to achieve the hope that it may be useful to)