Efficient Neural Network Compression through Booth Coding and Exponential of Two Quantization for Enhanced Inference Performance
Author:
Affiliation:
1. Saveetha Engineering College,Department of ECE,Chennai,Tamilnadu
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10562381/10563197/10563484.pdf?arnumber=10563484
Reference13 articles.
1. Booth Encoding-Based Energy Efficient Multipliers for Deep Learning Systems
2. Retrain-Less Weight Quantization for Multiplier-Less Convolutional Neural Networks
3. Deep convolutional neural network inference with floating-point weights and fixed-point activations;Lai,2017
4. Energy-Efficient Approximate Booth Multipliers for Convolutional Neural Networks
5. Hardware reduction of DSP kernel data path using carry save arithmetic operation in fused add multiply add unit
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