Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs.
Da LiXinbo ChenMichela BecchiZiliang ZongPublished in: BDCloud-SocialCom-SustainCom (2016)
Keyphrases
- energy efficiency
- convolutional neural networks
- energy consumption
- power consumption
- wireless sensor networks
- graphics processing units
- high performance computing
- data center
- sensor networks
- parallel processing
- energy efficient
- convolutional network
- power saving
- power management
- energy saving
- response time
- smart home
- multi core systems
- routing protocol
- general purpose
- commodity hardware
- cloud computing
- energy management
- energy conservation
- graphics processors
- energy aware
- reduce the energy consumption
- wireless sensor
- residual energy
- sensor nodes
- parallel programming
- topology control
- traffic load
- data collection
- real time
- node selection
- parallel computing
- management system
- parallel algorithm
- computer vision