|Title||Design techniques of eNVM-enabled neuromorphic computing systems|
|Publication Type||Conference Paper|
|Year of Publication||2016|
|Authors||C Song, B Liu, C Liu, H Li, and Y Chen|
|Conference Name||Proceedings of the 34th Ieee International Conference on Computer Design, Iccd 2016|
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.