EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration

arXiv:2402.18595v1 Announce Type: cross
Abstract: Deep neural networks (DNNs) have achieved great breakthroughs in many fields such as image classification and natural language processing. However, the execution of DNNs needs to conduct massive numbers of multiply-accumulate (MAC) operations on hardware and thus incurs a large power consumption. To address this challenge, we propose a novel digital MAC design based on encoding. In this new design, the multipliers are replaced by simple logic gates to project the results onto a wide …

abstract and natural language processing arxiv classification consumption cs.ar cs.ce cs.lg design encoding fields hardware image language language processing mac massive natural natural language natural language processing network networks neural network neural networks novel numbers operations power power consumption processing type