ACM/IEEE International Symposium on Computer Architecture, ISCA 2017


Article Details
Title: Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent
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Authors: Christopher De Sa
  • Stanford University, Departments of Electrical Engineering and Computer Science
Matthew Feldman
  • Stanford University, Departments of Electrical Engineering and Computer Science
Christopher RĂ©
  • Stanford University, Departments of Electrical Engineering and Computer Science
Kunle Olukotun
  • Stanford University, Departments of Electrical Engineering and Computer Science
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NSF Award Numbers: 1247701, 1111943, 1337375, 1353606
DBLP Key: conf/isca/SaFRO17
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