Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

The memristor crossbar array has emerged as an intrinsically suitable matrix computation and low-power acceleration framework for DNN applications. Many techniques such as memristor-based weight pruning and memristor-based quantization have been studied. However, the high accuracy solution for the a...

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Veröffentlicht in:	Proceedings of the ASP-DAC ... Asia and South Pacific Design Automation Conference S. 301 - 306
Hauptverfasser:	Ma, Xiaolong, Yuan, Geng, Lin, Sheng, Ding, Caiwen, Yu, Fuxun, Liu, Tao, Wen, Wujie, Chen, Xiang, Wang, Yanzhi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2020
Schlagworte:	Asia Data models Design automation Hardware Memristors Purification Quantization (signal)
ISSN:	2153-697X
Online-Zugang:	Volltext
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