Energy-aware scheduling of malleable HPC applications using a Particle Swarm optimised greedy algorithm.
Briag DupontNesryne MejriGeorges Da CostaPublished in: Sustain. Comput. Informatics Syst. (2020)
Keyphrases
- greedy algorithm
- energy aware
- particle swarm
- high performance computing
- particle swarm optimization
- particle swarm optimization algorithm
- optimization method
- multi objective
- swarm intelligence
- energy efficiency
- evolutionary algorithm
- computing systems
- differential evolution
- greedy algorithms
- pso algorithm
- massively parallel
- genetic algorithm
- grid computing
- scheduling problem
- dynamic programming
- worst case
- wireless sensor networks
- parallel computing
- optimization methods
- squeaky wheel
- fitness function
- objective function
- greedy strategy
- computing resources
- data center
- power consumption
- energy consumption
- convergence speed
- fault tolerance
- optimization problems
- search algorithm
- artificial intelligence
- influence spread
- lower bound
- expert systems
- sensor networks
- parallel machines
- distributed computing
- routing protocol