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Bit-level Array Structure Representation of Weight and Optimization Method to Design Pre-Trained Neural Network  

Lim, Guk-Chan (WLL Mobile Lab. LG Electronics Inc.)
Kwak, Woo-Young (WLL Mobile Lab. LG Electronics Inc.)
Lee, Hyun-Soo (Dept. of Computer Engineering Kyunghee Univ.)
Publication Information
Abstract
This paper proposes efficient digital hardware design method by using fixed weight of pre-trained neural network. For this, arithmetic operations of PEs(Processing Elements) are represented with matrix-vector multiplication. The relationship of fixed weight and input data present bit-level array structure architecture which is consisted operation node. To minimize the operation node, this paper proposes node elimination method and setting common node depend on bit pattern of weight. The result of FPGA simulation shows the efficiency on hardware cost and operation speed with full precision. And proposed design method makes possibility that many PEs are implemented to on-chip.
Keywords
신경망;구현;어레이 구조;최적화;
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Times Cited By KSCI : 1  (Citation Analysis)
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