并行计算（mpi与openmp）之蒙特卡洛求不规则图形面积_OpenMP采用Machin公式求pi资源-CSDN文库

共42个文件

cmake：8个

txt：6个

make：4个

openmp

opencv

5星 · 超过95%的资源需积分: 50 157 浏览量 2019-01-19 23:52:41 上传评论 8 收藏 3.33MB ZIP 举报

并行计算是现代高性能计算领域中的重要技术，它通过同时执行多个计算任务来提升计算效率。在本项目中，我们关注的是使用MPI（Message Passing Interface）和OpenMP这两种并行计算模型来实现蒙特卡洛算法求解不规则图形的面积。MPI主要用于分布式内存系统，而OpenMP则适用于共享内存环境。蒙特卡洛方法是一种基于随机抽样的数值计算方法，其基本思想是通过大量随机点的统计来近似解决复杂问题。在求解不规则图形面积时，我们假设图形边界内和边界上的点比例与图形实际面积成正比。因此，生成大量的随机点，统计落在图形内的点数，然后乘以一个适当的放大因子（通常是整个计算区域的面积），就可以得到图形的近似面积。在具体实现中，首先我们需要读取不规则图形的边界信息，这通常可以通过图像处理库如OpenCV来完成。OpenCV是一个强大的计算机视觉库，能处理图像读取、处理和分析等任务。在这个项目中，我们可能需要使用OpenCV来读取图形边界图像，然后提取边界信息，例如边缘检测，以便确定图形的轮廓。 MPI是并行计算中的通信协议，用于分布式内存系统。在本项目中，我们可以将计算任务分解到多个处理器或计算节点上，每个节点独立生成并统计一部分随机点，然后通过MPI通信协议交换数据和结果。例如，可以将图像分割为多个区域，每个处理器负责处理一部分区域的随机点。 OpenMP是另一种并行计算模型，它主要用于共享内存环境，比如多核CPU。在求解不规则图形面积的过程中，OpenMP可以用于并行化随机点生成和统计过程。通过在主程序中添加合适的OpenMP指令，可以使得不同线程并行执行这部分任务，提升计算速度。在项目中，文件"蒙特卡罗求面积"可能是实现上述功能的源代码文件，包含具体的算法实现和调用OpenMP及MPI的函数。为了确保计算结果的准确性，需要注意随机数生成的种子设定，以及并行计算中的同步问题，避免数据竞争。总结起来，这个项目结合了并行计算、蒙特卡洛方法、图像处理和编程技术，通过MPI和OpenMP实现高效的并行计算，利用OpenCV处理图像获取不规则图形信息，最后通过蒙特卡洛算法估算图形面积。这种综合应用不仅展示了理论知识的实际应用，也是对并行编程和数值计算能力的检验。

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蒙特卡罗求面积.zip （42个子文件）

蒙特卡罗求面积

mpi_openmp

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1.txt 490KB

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test

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example.cpp 2KB

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1.txt 490KB

1.jpg 3.27MB

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progress.marks 2B

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cmake_install.cmake 1KB

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