Improving Energy Efficiency of Convolutional Neural Networks on Multi-core Architectures through Run-time Reconfiguration.
Yan XiongJ. LiDavid T. BlaauwH.-S. KimTrevor N. MudgeRonald G. DreslinskiChaitali ChakrabartiPublished in: ISCAS (2022)
Keyphrases
- energy efficiency
- convolutional neural networks
- energy consumption
- power consumption
- wireless sensor networks
- sensor networks
- data center
- energy efficient
- energy saving
- routing protocol
- high performance computing
- response time
- smart home
- convolutional network
- energy conservation
- energy management
- power management
- power saving
- wireless sensor
- traffic load
- energy aware
- sensor nodes
- reduce the energy consumption
- data sets
- topology control
- real time
- multi hop
- multiscale
- residual energy
- battery powered