multi_pi_matrix

介绍

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)

左矩阵A是m×s，右矩阵B是s×n，结果矩阵C是m×n。

一个基础的CUDA例子，绘画出julia集合。(One based on CUDA example, draw julia set.)

实现环氧树脂交联，设定交联度，并统计不同交联度的结构，密度，能量等(Achieve the epoxy resin crosslinking, set the crosslinking degree, and count the structure, density and energy of different crosslinking degree)

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.)

lab1为多线程计算圆周率的程序 lab2为多线程计算矩阵乘法的程序 有实验报告和说明文档(lab1 for multi-threaded computing lab2 pi procedure for multi-threaded matrix multiplication calculation procedures have experimental reports and documentation)

盲分离算法，处理声音信号的分离，利用算法分离出语音信号，供语音识别使用(blind separation algorithm, the signal processing sound separation, the use of algorithms to isolate voice signal, for the use of speech recognition)

JPDA算法希望对你们有帮助，这是我从网上搜到的(JPDA algorithm you want to help, this is my online search to the)

说明：  本文介绍的基于多线程和图像分块实现加速运算，因为调用了opencv库，比较容易编写和实现。OpenCV全称是是Open Source Computer Vision Library，它是由Intel微处理器研究实验室的视觉交互组开发，是一种用于数字图像处理和计算机视觉的开源函数库，采用的开发语言是C++。(This paper introduces an acceleration algorithm based on multi-threading and image partitioning, because it is easy to write and implement by calling the opencv library. OpenCV is called Open Source Computer Vision Library. It is developed by the Visual Interaction Group of Intel Microprocessor Research Laboratory. It is an open source library for digital image processing and computer vision. The development language used is C++)