基于FPGA可扩展的Mapreduce架构设计与实现 关键词:Mapreduce架构;FPGA;可扩展;协处理系统;流水线操作 [gap=1004]Key words:Mapreduce framework;FPGA;scalable;coprocessor system;pipeline
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As a conceptual framework for processing huge data sets, MapReduce is highly optimized for distributed problem-solving using a large number of computers.
作为处理大数据集的概念框架,MapReduce对于使用许多计算机来解决分布式问题而言是高度优化的。
Like the Google framework MapReduce; MR describes a way of implementing parallelism using the Map function which splits a large data into multiple key-value pairs.
如Google框架MapReduce; MR描述了一种使用Map功能实现并行性的方法,它将大型数据分割成多个键-值对。
MapReduce is a software framework introduced by Google that supports distributed computing on large data sets on clusters of computers (or nodes).
MapReduce是Google引入的一个软件框架,它支持在计算机(即节点)集群上对大型数据集进行分布式计算。
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