An Implementation of GPU Accelerated MapReduce: Using Hadoop with OpenCL for Data- and Compute-Intensive Jobs

@article{Xin2012AnIO,
  title={An Implementation of GPU Accelerated MapReduce: Using Hadoop with OpenCL for Data- and Compute-Intensive Jobs},
  author={Miao Xin and Hao Li},
  journal={2012 International Joint Conference on Service Sciences},
  year={2012},
  pages={6-11}
}
  • Miao Xin, Hao Li
  • Published 2012 in
    2012 International Joint Conference on Service…
MapReduce is an efficient distributed computing model for large-scale data processing. However, single-node performance is gradually to be the bottleneck in compute-intensive jobs. This paper presents an approach of MapReduce improvement with GPU acceleration, which is implemented by Hadoop and OpenCL. Different from other implementations, it targets at general and inexpensive hardware platform, and it is seamless-integrated with Apache Hadoop, a most widely used MapReduce framework. As a… CONTINUE READING
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