A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks.
Yixing LiZichuan LiuKai XuHao YuFengbo RenPublished in: CoRR (2017)
Keyphrases
- energy efficient
- convolutional neural networks
- field programmable gate array
- wireless sensor networks
- energy consumption
- sensor networks
- convolutional network
- hardware implementation
- energy efficiency
- embedded systems
- data aggregation
- multi core architecture
- data dissemination
- data gathering
- base station
- real time
- parallel computing
- routing protocol
- low cost
- parallel implementation
- multi hop
- high speed
- image processing algorithms
- hardware architecture
- sensor nodes
- power consumption
- wireless networks
- data transmission
- smart home
- response time