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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 CPUs. Compared with commodity 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
doi:10.1145/1454115.1454152
dblp:conf/IEEEpact/HeFLGW08
fatcat:pjbsa7lhgnh2jk7vexppxwv2iy