Approximate CPU Design for IoT End-Devices with Learning Capabilities
Abstract
With the rise of Internet of Things (IoT), low-cost resource-constrained devices have to be more capable than traditional embedded systems, which operate on stringent power budgets. In order to add new capabilities such as learning, the power consumption planning has to be revised. Approximate computing is a promising paradigm for reducing power consumption at the expense of inaccuracy introduced to the computations. In this paper, we set forth...
Paper Details
Title
Approximate CPU Design for IoT End-Devices with Learning Capabilities
Published Date
Jan 9, 2020
Journal
Volume
9
Issue
1
Pages
125 - 125
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