Design techniques of eNVM-enabled neuromorphic computing systems

Conference Paper

© 2016 IEEE. The recently emerged research on 'neuromorphic computing', which stands for hardware acceleration of brain-inspired computing, has become one of the most active research areas in computer engineering. In this invited paper, we start with a background introduction of neuromorphic computing, followed by some examples of hardware acceleration schemes of learning and neural network algorithms on emerging nonvolatile memory (eNVM)-based neuromorphic computing engine. At the end, we share our prospects on the future technology challenges and advances of neuromorphic computing.

Full Text

Duke Authors

Cited Authors

  • Song, C; Liu, B; Liu, C; Li, H; Chen, Y

Published Date

  • November 22, 2016

Published In

  • Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016

Start / End Page

  • 674 - 677

International Standard Book Number 13 (ISBN-13)

  • 9781509051427

Digital Object Identifier (DOI)

  • 10.1109/ICCD.2016.7753356

Citation Source

  • Scopus