A clustering-based approach for exploring sequences of compiler optimizations.
Luiz G. A. MartinsRicardo NobreAlexandre C. B. DelbemEduardo MarquesJoão M. P. CardosoPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- clustering algorithm
- k means
- hidden markov models
- clustering method
- data points
- graph theoretic
- categorical data
- data clustering
- document clustering
- cluster analysis
- self organizing maps
- neural network
- information theoretic
- unsupervised learning
- programming language
- general purpose
- object oriented
- software development
- case study
- data sets
- long sequences
- highly optimized