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Scalable reduction collectives with data partitioning-based multi-leader design.

Mohammadreza BayatpourSourav ChakrabortyHari SubramoniXiaoyi LuDhabaleswar K. Panda
Published in: SC (2017)
Keyphrases
  • data partitioning
  • highly scalable
  • feature extraction
  • multi dimensional
  • feature selection