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[MPI] Mars_v2 DL : 0: 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 Google for the ease of development of web search applications on a large number of commodity CPUs. Compared with CPUs, GPUs have an order of magnitude higher computation power and memory bandwidth, but are harder to program since their architectures are designed as a special-purpose co-processor and their programming interfaces are typically for graphics applications.
Update : 2025-02-17 Size : 7.56mb Publisher : 陈思远
[MPI] Mars DL : 0: 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
Update : 2025-02-17 Size : 439kb Publisher : 张宗玉