Create low power, higher performance circuits with shorter design times using this practical
guide to asynchronous design. This practical alternative to conventional synchronous design …

Slack matching is the problem of adding pipeline buffers to an asynchronous pipelined design
in order to prevent stalls and improve performance. This paper addresses the problem of …

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The increasing demand for on-chip edge intelligence has motivated the exploration of
algorithmic techniques and specialized hardware to reduce the computing energy of current …

Low-latency deep spiking neural networks (SNNs) have become a promising alternative to
conventional artificial neural networks (ANNs) because of their potential for increased energy …

Large number of ReLU and MAC operations of Deep neural networks make them ill-suited
for latency and compute-efficient private inference. In this paper, we present a model …

Editors' note:The high-performance benefits of asynchronous design have hitherto been
obtained only using full-custom design. This article presents an industrial-strength …

The demand to process vast amounts of data generated from state-of-the-art high resolution
cameras has motivated novel energy-efficient on-device AI solutions. Visual data in such …

This paper presents a dynamic network rewiring (DNR) method to generate pruned deep
neural network (DNN) models that are robust against adversarial attacks yet maintain high …

In-memory computing represents an effective method for modeling complex physical
systems that are typically challenging for conventional computing architectures but has been …