Abstract
With the widespread of deep neural net-
works (DNNs) in diverse applications, tiny platforms such as
Internet-of-Things devices are starting to adopt DNNs. Due to
their extreme energy and form factor constraints, conventional
digital-only implementations of multiply-and-accumulate (MAC)
acceleration faced fundamental limitations. To that end, the inves-
tigation into mixed-signal computing architectures is growing
rapidly. Motivated by the flash ADC, this article proposes Flash-
MAC architecture