Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review.
Suejb MemetiSabri PllanaAlécio Pedro Delazari BinottoJoanna KolodziejIvona BrandicPublished in: Computing (2019)
Keyphrases
- computing systems
- literature review
- metaheuristic
- optimization problems
- computer systems
- machine learning
- high end
- parallel computing
- combinatorial optimization
- optimization method
- software developers
- computing platform
- hardware platforms
- case study
- simulated annealing
- tabu search
- computing technologies
- ant colony optimization
- combinatorial optimization problems
- heterogeneous systems
- processing units
- software development
- graphics processing units
- optimization algorithm
- genetic algorithm
- objective function
- software systems
- parallel architectures
- high performance computing
- evolutionary algorithm
- current issues
- autonomic computing
- parallel processing
- parallel programming
- optimal solution
- particle swarm optimization
- specific problems
- nature inspired
- search space
- information systems
- vehicle routing problem
- suboptimal solutions
- data mining
- application development
- data processing
- artificial intelligence
- field programmable gate array
- user interface