QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI
IEEE Journal on Emerging and Selected Topics in Circuits and Systems(2021)
摘要
Because of their simple hardware requirements, low bitwidth neural networks (NN) have gained significant attention over the recent years, and have been extensively employed in the state-of-the-art devices that seek efficiency and performance. Research has shown that scaled-up low bitwidth NNs can have accuracy levels on par with their full-precision counterparts. As a result, there is a trade-off ...
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关键词
Hardware,Quantization (signal),Field programmable gate arrays,Energy consumption,Adders,Resource management,Energy measurement
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