• DOI:10.1145/2783258.2783323
Corpus ID: 1219745

Petuum: A New Platform for Distributed Machine Learning on Big Data

@article{Xing2015PetuumAN,
  title={Petuum: A New Platform for Distributed Machine Learning on Big Data},
  author={E. Xing and Q. Ho and Wei Dai and J. Kim and Jinliang Wei and S. Lee and X. Zheng and Pengtao Xie and Abhimanu Kumar and Y. Yu},
  journal={IEEE Transactions on Big Data},
  year={2015},
  volume={1},
  pages={49-67}
}

E. Xing, Q. Ho, +7 authors Y. Yu

Published 2015

Computer Science

IEEE Transactions on Big Data

What is a systematic way to efficiently apply a wide spectrum of advanced ML programs to industrial scale problems, using Big Models (up to 100 s of billions of parameters) on Big Data (up to terabytes or petabytes)? Modern parallelization strategies employ fine-grained operations and scheduling beyond the classic bulk-synchronous processing paradigm popularized by MapReduce, or even specialized graph-based execution that relies on graph representations of ML programs. The variety of approaches… CONTINUE READING

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