Using machine learning to predict the code size impact of duplication heuristics in a dynamic compiler.
Raphael MosanerDavid LeopoldsederLukas StadlerHanspeter MössenböckPublished in: MPLR (2021)
Keyphrases
- machine learning
- instruction scheduling
- dynamic environments
- computer vision
- code generation
- inductive learning
- programming language
- computational intelligence
- data mining
- java virtual machine
- feature selection
- data sets
- genetic algorithm
- learning algorithm
- search algorithm
- decision trees
- high level
- general purpose
- source code
- supervised learning
- machine learning algorithms
- statistical methods
- artificial intelligence
- machine learning approaches
- explanation based learning
- running times
- information extraction
- scheduling problem
- computer science