Mars: Accelerating MapReduce with Graphics Processors

@article{Fang2011MarsAM,
  title={Mars: Accelerating MapReduce with Graphics Processors},
  author={Wenbin Fang and Beixin Julie He and Qiong Luo and Naga K. Govindaraju},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  year={2011},
  volume={22},
  pages={608-620}
}
We design and implement Mars, a MapReduce runtime system accelerated with graphics processing units (GPUs). MapReduce is a simple and flexible parallel programming paradigm originally proposed by Google, for the ease of large-scale data processing on thousands of CPUs. Compared with CPUs, GPUs have an order of magnitude higher computation power and memory bandwidth. However, GPUs are designed as special-purpose coprocessors and their programming interfaces are less familiar than those on the… CONTINUE READING
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