Task parallelism-based architectures on FPGA to optimize the energy efficiency of AI at the edge.
Rafael Gadea GironésJorge D. FeJosé María MonzóPublished in: Microprocess. Microsystems (2023)
Keyphrases
- energy efficiency
- power consumption
- energy consumption
- wireless sensor networks
- sensor networks
- energy efficient
- data center
- artificial intelligence
- power saving
- routing protocol
- parallel architectures
- energy conservation
- power management
- high performance computing
- smart home
- field programmable gate array
- energy aware
- hardware implementation
- reduce the energy consumption
- low cost
- response time
- energy management
- machine learning
- energy saving
- expert systems
- sensor nodes
- parallel processing
- base station
- traffic load
- cost effective
- parallel computers
- computer vision
- wireless sensor
- routing algorithm
- multi hop
- parallel computing
- hardware architecture
- database systems
- computational power
- data collection
- real time
- node selection
- packet delivery
- database