XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Network on RISC-V based IoT End Nodes.
Angelo GarofaloGiuseppe TagliaviniFrancesco ContiLuca BeniniDavide RossiPublished in: CoRR (2020)
Keyphrases
- energy efficient
- neural network
- sensor nodes
- wireless sensor networks
- energy consumption
- sensor networks
- sink node
- battery powered
- base station
- data aggregation
- location information
- data dissemination
- energy efficiency
- shortest path
- management system
- application specific
- data gathering
- routing algorithm
- data transmission
- transmission power
- multi hop
- data sets
- network structure
- routing protocol
- mobile nodes
- multi core architecture