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