Mars: A MapReduce Framework on graphics processors

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 mag...

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Veröffentlicht in:	PACT'08 : proceedings of the Seventeenth International Conference on Parallel Architectures and Compilation Techniques : Toronto, Ontario, Canada, October 25-29, 2008 S. 260 - 269
Hauptverfasser:	He, Bingsheng, Fang, Wenbin, Luo, Qiong, Govindaraju, Naga K., Wang, Tuyong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.10.2008
Schlagworte:	Computer architecture Data parallelism GPGPU Graphics processing units Graphics Processor Instruction sets MapReduce Multi-core processors Parallel processing Programming Runtime Web Analysis
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