▍1. PageRank
并行计算环境下的网页排序算法 mapreduce框架,北大计算机系暑期课程项目(null)
说明: Map reduce分布式计算,大数据分析再Hadoop的平台的使用(Map reduce distributed computing, big data analysis and the use of Hadoop platform)
计算文件中的词的出现的数目,并行算法,通过并行的思想,部分代码,利用mapreduce实现(parallel algorithm for count the num of every word。)
Mapreduce实现的TF-IDF词频统计分析,可以直接运行于HADOOP环境下,适合初学者。(Realization Mapreduce TF-IDF, word frequency statistics, can be run directly in the the under HADOOP environment, suitable for beginners.)
用于dblp数据集中合作者之间关系的挖掘,同时含有mapreduce的过程,并行处理。(Centralized data mining for dblp relationship between partners, and contains process mapreduce of parallel processing.)
Decompilled minecraft launcher but for some reason its unable to save download files
实现网格环境下资源调度和分配的仿真,主要由java实现,并且调用了simjava类库(The realization of grid resource scheduling and allocation of the simulation, mainly by the java to achieve, and call a class library simjava)
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)