HYSTERY: a hybrid scheduling and mapping approach to optimize temperature, energy consumption and lifetime reliability of heterogeneous multiprocessor systems.
Athena AbdiHamid R. ZarandiPublished in: J. Supercomput. (2018)
Keyphrases
- multiprocessor systems
- energy consumption
- total energy
- wireless sensor networks
- energy saving
- energy efficient
- sensor networks
- energy efficiency
- energy conservation
- distributed memory
- access patterns
- data transmission
- resource utilization
- cluster head
- routing protocol
- base station
- data center
- reduce the energy consumption
- network lifetime
- save energy
- routing algorithm
- residual energy
- electricity consumption
- power management
- greenhouse gas emissions
- energy aware
- sensor nodes
- minimum energy
- parallel implementation
- parallel algorithm
- query processing
- battery powered
- database systems
- website
- information retrieval