A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.
Phitchaya Mangpo PhothilimthanaAmit SabneNikhil SardaKarthik Srinivasa MurthyYanqi ZhouChristof AngermuellerMike BurrowsSudip RoyKetan MandkeRezsa FarahaniYu Emma WangBerkin IlbeyiBlake A. HechtmanBjarke RouneShen WangYuanzhong XuSamuel J. KaufmanPublished in: PACT (2021)
Keyphrases
- machine learning
- programming language
- decision trees
- machine learning methods
- hardware and software
- pattern recognition
- machine learning algorithms
- lightweight
- artificial intelligence
- computer systems
- data sets
- inductive learning
- neural network
- inductive logic programming
- computer vision
- databases
- knowledge discovery
- general purpose
- computational intelligence
- text mining
- text classification
- information systems
- learning algorithm
- data mining
- database
- semi supervised learning
- supervised learning
- active learning
- real world
- explanation based learning
- massively parallel
- machine learning and data mining
- supervised machine learning