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Darwin: A neuromorphic hardware co-processor based on spiking neural networks.
- Source :
-
Journal of Systems Architecture . Jun2017, Vol. 77, p43-51. 9p. - Publication Year :
- 2017
-
Abstract
- Spiking Neural Network (SNN) is a type of biologically-inspired neural networks that perform information processing based on discrete-time spikes, different from traditional Artificial Neural Network (ANN). Hardware implementation of SNNs is necessary for achieving high-performance and low-power. We present the Darwin Neural Processing Unit (NPU), a highly-configurable neuromorphic hardware co-processor based on SNN implemented with digital logic, supporting a configurable number of neurons, synapses and synaptic delays. The Darwin NPU was fabricated by standard 180 nm CMOS technology with area size of 5 × 5 mm 2 and 70 MHz clock frequency at the worst case. It consumes 0.84 mW/MHz with 1.8 V power supply for typical applications. Two prototype applications are used to demonstrate the performance and efficiency of the Darwin NPU. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13837621
- Volume :
- 77
- Database :
- Academic Search Index
- Journal :
- Journal of Systems Architecture
- Publication Type :
- Academic Journal
- Accession number :
- 123504114
- Full Text :
- https://doi.org/10.1016/j.sysarc.2017.01.003