Dynamic Beam Width Tuning for Energy-Efficient Recurrent Neural Networks.
Daniele Jahier PagliariFrancesco PaniniEnrico MaciiMassimo PoncinoPublished in: ACM Great Lakes Symposium on VLSI (2019)
Keyphrases
- recurrent neural networks
- energy efficient
- wireless sensor networks
- echo state networks
- sensor networks
- energy consumption
- feed forward
- neural network
- recurrent networks
- artificial neural networks
- data dissemination
- base station
- data aggregation
- multi hop
- reservoir computing
- cascade correlation
- energy efficiency
- decision making
- data mining
- data center
- cloud computing
- data management
- multi core architecture