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一个简单的mapreduce实现，用来理解Google mapreduce分布计算程序框架。,Mapreduce the realization of a simple to understand Google mapreduce Framework distributed computing.
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一个hadoop写的二次排序，使用了mapreduce框架。-Write a hadoop secondary sort, use mapreduce framework.
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基于Hapdoop框架的MapReduce大规模外排序的实现-Based on the MapReduce framework Hapdoop large-scale realization of things to sort
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GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值，里面附带论文。用户要求有NViDIA显卡，并且安装cuda编程环境。-We design and implement Mars, a MapReduce framework, on graphics
processors (GPUs). MapReduce is a distributed programming
framework originally proposed by
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Hadoop 是一个实现了 MapReduce 计算模型的开源分布式并行编程框架，借助于 Hadoop, 程序员可以轻松地编写分布式并行程序，将其运行于计算机集群上，完成海量数据的计算。-Hadoop is an implementation of the MapReduce computation model of the open-source framework for distributed parallel programming, through the use of Hadoop,
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Hadoop: The Definitive Guide-Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its
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一个利用mapreduce框架实现的重复文档检测-Using the framework of realization of a repetition of the document mapreduce Detection
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三篇关于开源搜索引擎的硕士论文
1、基于Lucene的Web搜索引擎实现
2、基于MapReduce的分布式智能搜索引擎框架研究
3、基于Nutch的垂直搜索引擎的分析与实现-Three open source search engine on the master' s thesis
1, the Web search engine based on Lucene implementation
2, based on the MapReduce framework
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最新版本的用于GPU上面进行MapReduce程序开发的编程框架-The latest version of the GPU for which MapReduce program development programming framework
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本书介绍了hadoop框架，给出了编写和运行hadoop数据处理所需的实践技能。-this book introduces the basics for understanding and using Hadoop.
We describe the hardware components that make up a Hadoop cluster, as well
as the installation and confi guration to create a working sys
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Hadoop是一个用于运行应用程序在大型集群的廉价硬件设备上的框架。Hadoop为应用程序透明的提供了一组稳定/可靠的接口和数据运动。在 Hadoop中实现了Google的MapReduce算法，它能能够把应用程序分割成许多很小的工作单元，每个单元可以在任何集群节点上执行或重复执行。此外，Hadoop还提供一个分布式文件系统用来在各个计算节点上存储数据，并提供了对数据读写的高吞吐率。由于应用了map
-Hadoop is a framework for running application
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一个简单的mapreduce实现，用来理解Google mmapreduce分布计算程序框架。，
-A simple mapreduce implementation, used to understand the procedural framework Google mmapreduce distributed computing. ,
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一个采用python编写的mapreduce开源框架，代表了并行计算的未来。-A mapreduce open source framework written in python, represent the future of parallel computing.
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利用MapReduce框架进行单词统计，在linux下开发。-MapReduce framework for word statistics, developed under linux.
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基于Hadoop的KNN分类算法，在MapReduce框架下编写，集群环境下调试成功。-KNN classification algorithm based on Hadoop, MapReduce framework under preparation, cluster environment debugging success.
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基于Hadoop的模糊K-Means算法，在MapReduce框架下编写，经集群测试成功运行。压缩包中包含源码和实验数据-Hadoop-based fuzzy K-Means algorithm, written in the MapReduce framework, through the cluster test run successfully. Compressed package contains the source code and experimental data
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Linux上C和C++实现的Mapreduce框架，斯坦福的研究项目-C and C++ implementation ofMapreduce framework, a research project from stanford
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MapReduce应用场景、原理与基本架构-MapReduce application scenarios, principle and basic framework
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MapReduce框架实现的单源最短路径算法(SSSP, Single-source Shortest Path)，包含源文件及数据。sssp.c是MapReduce实现，ss seq.cpp是串行的普通实现。-An implementation of single-source shortest path with MapReduce framework. Contains source code and dataset. In the folder, sssp.c is the MapRed
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基于MapReduce框架开发的web用户识别程序-MapReduce-based framework for the development of web user identification program
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