Original paper
Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing
Abstract
Internet of things (IoT) infrastructure, fast access to knowledge becomes critical. In some application domains, such as robotics, autonomous driving, predictive maintenance, and anomaly detection, the response time of the system is more critical to ensure Quality of Service than the quality of the answer. In this paper, we propose a methodology, a set of predefined steps to be taken in order to map the models to hardware, especially field...
Paper Details
Title
Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing
Published Date
Jul 5, 2019
Journal
Volume
19
Issue
13
Pages
2981 - 2981
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Notes
History