Accumulation-Aware Shift and Difference-Add Booth Multiplier for Energy-Efficient Convolutional Neural Network Inference.
Zhong-Da WuShanq-Jang RuanBai-Kui YanPublished in: Circuits Syst. Signal Process. (2021)
Keyphrases
- energy efficient
- convolutional neural network
- wireless sensor networks
- energy consumption
- sensor networks
- face detection
- data aggregation
- data gathering
- data dissemination
- base station
- neural network
- multi hop
- multi core architecture
- routing protocol
- energy efficiency
- sensor nodes
- low overhead
- hardware implementation
- real time
- intelligent systems
- data processing
- response time
- computer vision
- data sets