A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier

Approximate computing is an emerging and effective method for reducing energy consumption in digital circuits, which is critical for energy-efficient performance improvement of edge-computing devices. In this paper, we propose a low-power DNN accelerator with novel signed approximate multiplier base...

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Hlavní autoři:	Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Open Journal of Circuits and Systems
Témata:	Approximate computing multiplier compressor probability analysis truncation vector
On-line přístup:	https://ieeexplore.ieee.org/document/10500495/
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