H2

说明：  这是用并行程序语言MPI做的关于矩阵LU分解的程序，程序中很好的实现了分解过程的并行性。(This is used MPI parallel programming language to do LU decomposition on the matrix of the procedures, procedures to achieve a good decomposition process parallelism.)

并行计算实验，用于求历史最高气温的算法，包含openmp，pthread，mpi，mapreduce等并行计算算法(algorithm includes openmp，pthread，mpi，mapreduce and so on )

介绍

设计MPI程序模拟广播（MPI_Bcast）操作：将每个MPI进程按照所在节点名称建立node通信子域分组；再将各个node子通信域的0号进程再次组成一个名为head的通信域；在进行广播时，首先，由root进程将消息在head通信子域内广播，然后，再由head子域内各进程在其所在的node子域内进行广播。(Design the MPI program MPI_Bcast operation: Each MPI process establishes a node communication sub-domain grouping according to the node name; then, each process of the 0 node of each node sub-communication domain is again formed into a communication domain named head; At first, the root process broadcasts the message in the head communication sub-domain, and then the processes in the head sub-domain broadcast in the node sub-domain where it is)

使用CUDA并行语言编写的矩阵乘法，与串行语句的对比试验，主要检测出CPU与GPU运行的时间，通过比较时间，达到比较效果。另外此程序可以随意更改矩阵的维数，增强程序的移植性。(CUDA parallel language use matrix multiplication, and serial statement comparison test, the main test of CPU and GPU to run time, by comparing the time, to compare results. Also this program can change the dimension of the matrix, and enhanced portability of the program.)

Fortran编写的求解在集中力作用下半无限体的下表面应力程序(Solving the lower surface of semi-infinite body stress under concentrated force)

This book is for students and researchers who are interested in scientific computation. The book has a dual purpose: first, it is a textbook for a course on parallel scientific computation. Second, the book is a source of example parallel algorithms and programs for computational physicists and chemists, and for other computational scientists who are eager to get a quick start in parallel computing and want to learn a structured approach to writing parallel programs.

并行技术在电磁有限元计算中的应用，pdf电子书(Parallel technology in the electromagnetic finite element calculation of, pdf ebook)

H.264编解码的CUDA实现，并行加速算法，内部实现了H.264视频编解码的CUDA实现，能够编译通过，已经过测试，并且还添加了注释信息。

这是示例如何用逐次超松驰迭代 （SOR） 方法，求解线性系统的方程 使用 python 库 mpi4py。算法尝试计算节点之间平分。该程序不仅可以 在集群上运行。