Corpus ID: 5208262

RABIT : A Reliable Allreduce and Broadcast Interface

@inproceedings{Chen2015RABITA,
  title={RABIT : A Reliable Allreduce and Broadcast Interface},
  author={T. Chen and I. Cano and Tianyi Zhou},
  year={2015}
}
  • T. Chen, I. Cano, Tianyi Zhou
  • Published 2015
  • Allreduce is an abstraction commonly used for solving machine learning problems. It is an operation where every node starts with a local value and ends up with an aggregate global result. MPI provides an Allreduce implementation. Though it has been widely adopted, it is somewhat limited; it lacks fault tolerance and cannot run easily on existing systems. In this work, we propose RABIT1, an Allreduce library suitable for distributed machine learning algorithms that overcomes the aforementioned… CONTINUE READING

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