Minimizing inter-task interferences in scratch-pad memory usage for reducing the energy consumption of multi-task systems.
Lovic GauthierTohru IshiharaHideki TakaseHiroyuki TomiyamaHiroaki TakadaPublished in: CASES (2010)
Keyphrases
- energy consumption
- memory usage
- multi task
- wireless sensor networks
- energy saving
- energy efficient
- energy efficiency
- multi task learning
- data center
- sensor networks
- energy conservation
- learning tasks
- total energy
- routing protocol
- base station
- feature selection
- residual energy
- electricity consumption
- energy aware
- multiple tasks
- sparse learning
- multi hop
- routing algorithm
- data transmission
- memory requirements
- multi class
- information extraction
- information retrieval
- machine learning