Performant, Multi-objective Scheduling of Highly Interleaved Task Graphs on Heterogeneous System on Chip Devices.
Joshua MackSamet E. ArdaÜmit Y. OgrasAli AkogluPublished in: CoRR (2021)
Keyphrases
- multi objective
- multiple objectives
- embedded systems
- evolutionary algorithm
- multi objective optimization
- optimization algorithm
- scheduling algorithm
- scheduling problem
- particle swarm optimization
- hardware and software
- genetic algorithm
- multiobjective optimization
- power consumption
- objective function
- graph theory
- graph matching
- conflicting objectives
- mobile devices
- series parallel
- graph model
- design methodology
- pareto optimal
- nsga ii
- graph mining
- graph structure
- directed graph
- low cost
- multi objective evolutionary
- graph representation
- resource allocation
- embedded devices
- grid environment
- real time database systems
- round robin
- multiagent evolutionary algorithm
- response time
- random graphs
- bi objective
- computer systems
- graph theoretic
- parallel machines
- resource constraints
- graph databases
- weighted graph