Parallel Levenberg-Marquardt-based Neural Network Training on Linux Clusters - A Case Study

This directory includes sources used in the following paper: Parallel Spectral Clustering in Distributed Systems Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and Edward Chang Accepted by IEEE Transactions on Pattern Analysis and

在linux环境下，采用mpi并行，C语言，实现对数组的快速排序。输出结果为数组从小到大排序的结果。可以实现多处理器共同对一组数的排序。-In linux environment, using mpi parallel, C language, to achieve quick sort the array. The output is an array of small to large results. Can achieve more together on a number of gro

并行算法实现wordcount：基于hadoop平台，在Linux上测试： 包括C语言实现的串行算法和Java实现的并行算法。-Parallel algorithm based on hadoop on Linux for wordcount： Including serial algorithm and parallel algorithm based on hadoop.