Always-On 674μ W@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.3012576
Abstract: Binary Neural Networks (BNNs) have been shown to be robust to random bit-level noise, making aggressive voltage scaling attractive as a power-saving technique for both logic and SRAMs. In this work, we introduce the first… read more here.
Keywords: voltage scaling; binary neural; voltage; neural networks ... See more keywords
On the Resiliency of NCFET Circuits Against Voltage Over-Scaling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3058451
Abstract: Approximate computing is established as a design alternative to improve the energy requirements of a vast number of applications, leveraging their intrinsic error tolerance. Voltage over-scaling (VOS) is one of the most energy-efficient approximation techniques,… read more here.
Keywords: voltage scaling; ncfet technology; voltage; resiliency ncfet ... See more keywords