A mixed signal architecture for convolutional neural networks

ACM Journal on Emerging Technologies in Computing Systems (JETC), Volume abs/1811.02636, Issue SP2, 2019.

Cited by: 7|Bibtex|Views43|DOI:https://doi.org/10.1145/3304110
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com|arxiv.org

Abstract:

Deep neural network (DNN) accelerators with improved energy and delay are desirable for meeting the requirements of hardware targeted for IoT and edge computing systems. Convolutional neural networks (CoNNs) belong to one of the most popular types of DNN architectures. This article presents the design and evaluation of an accelerator for ...More

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