ACM High-Performance Parallel and Distributed Computing, HPDC 2017


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Title: CuMF_SGD: Parallelized Stochastic Gradient Descent for Matrix Factorization on GPUs
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Authors: Xiaolong Xie
  • Peking University, Beijing, China, Center for Energy-efficient Computing and Applications
  • Peking University, Beijing, China, EECS
Wei Tan
  • IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA
Liana L. Fong
  • IBM Thomas J. Watson Research Center Yorktown Heights, NY, USA
Yun Liang
  • Peking University , Beijing, China, Center for Energy-efficient Computing and Applications
  • Peking University , Beijing, China, EECS
  • Peking University , Beijing, China, Peking University , Beijing, China
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DBLP Key: conf/hpdc/XieTFL17
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