Accelerating Machine Learning with Non-Volatile Memory: exploring device and circuit tradeoffs

Abstract

Large arrays of the same nonvolatile memories (NVM) being developed for Storage-Class Memory (SCM) -- such as Phase Change Memory (PCM) and Resistance RAM (ReRAM) -- can also be used in non-Von Neumann neuromorphic... [ view full abstract ]

Authors

  1. Alessandro Fumarola (IBM Research - Almaden)
  2. Pritish Narayanan (IBM Research - Almaden)
  3. Lucas L. Sanches (IBM Research - Almaden)
  4. Severin Sidler (IBM Research - Almaden)
  5. Jun-Woo Jang (POSTECH)
  6. Kibong Moon (POSTECH)
  7. Robert M. Shelby (IBM Research - Almaden)
  8. Hyunsang Hwang (POSTECH)
  9. Geoffrey W. Burr (IBM Research - Almaden)

Topic Areas

Topics: Neuromorphic, or “brain inspired”, computing , Topics: Error-tolerant logic and circuits , Topics: In-memory processing

Session

OS-02B » Neuromorphic 2 (13:15 - Monday, 17th October, Del Mar Ballroom AB)

Paper

ID036_ICRC2016_finalpaper.pdf

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