Noise Immunity of Oscillatory Computing Devices
- Resource Type
- article
- Authors
- Gyorgy Csaba; Wolfgang Porod
- Source
- IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 6, Iss 2, Pp 164-169 (2020)
- Subject
- Artificial neural networks
circuit noise
Hopfield neural networks
ring oscillators (ROs)
Computer engineering. Computer hardware
TK7885-7895
- Language
- English
- ISSN
- 2329-9231
We compare oscillator- and level-based analog computing devices in a noisy environment. The computational model of a Hopfield network is implemented using both level- and phase-based signal representations, and these models are simulated assuming both 1/f and thermal noise. The oscillator-based computing architecture turns out to be more immune against 1/f noise and operates reliably at a significantly lower voltage and power levels than the level-based devices. We argue that these results point toward a fundamental benefit of oscillatory architectures and provide an important rationale for their research and utility.