In this paper, we put forward an energy-efficient configurable asynchronous SNN
accelerator for energy-constrained applications, which includes 256 neurons and 131K …

Biological brains are increasingly taken as a guide toward more efficient forms of computing.
The latest frontier considers the use of spiking neural-network-based neuromorphic …

Over the past decade, the design of low-power processors is a primary requirement of
emerging applications, as Internet of Things (IoT) and neuromorphic chips. Therefore, there …

Asynchronous circuits have recently become more popular in Internet of Things (IoT) and
neural network chips because of their potential low power consumption. However, due to the …

An asynchronous circuit design paradigm can address the increasing energy efficiency and
speed demands of portable electronic devices. However, designing a low-cost event-driven …

Masking is the main countermeasure against side-channel attacks due to its sound formal
proof of security and the scalability of its protection parameters. However, effective masking …

Asynchronous circuits with low power and robustness are revived in emerging applications
such as the Internet of Things (IoT) and neuromorphic chips, thanks to clock-less and event …

In recent years, asynchronous circuits have become more popular in neural network chips
and the Internet of Things (IoT) due to their potential advantages of low-power consumption …

In recent years, asynchronous circuits have gained attention in neural network chips and
Internet of Things (IoT) due to their potential advantages of low power and high …

This paper presents a high-performance and synthesizable asynchronous pipeline
(HPSAP). First, a 4-phase pipeline controlled by the relative-timing (RT) controller is …