Matrix_mulitiple

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

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.)

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)

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)

清华大学郑仰东CUDA教学课件1，是很好的CUDA入门材料(Tsinghua university ZhengAngDong s CUDA teaching courseware 1,a very good CUDA introductory material)

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)

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)

cuda资料，对于并行编程很有帮助！该资料描述了cuda的基本信息，以及重要的步骤，让您逐渐上手，轻松掌握cuda并行编程。(cuda information useful for parallel programming! The information describes the cuda s basic information, as well as an important step, so that gradually you get started, easy to master parallel programming cuda.)

compilateur de code source

在Isight环境中集成UG/ANSYS，将UG的prt文件先储存文x_t格式文件，然后再导入ANSYS计算，将实现一个ugupdate.exe，功能除了更新prt文件文还将prt文件另存为x_t文件，以供ANSYS调用。(The Isight environment integrated the UG/ANSYS, the UG prt files first to store text x_t format file, and then import the ANSYS calculation will achieve a ugupdate.exe, functions in addition to updated prt files text will prt files saved as files x_t, for ANSYS invoked.)