Machine learning-based auto-tuning for enhanced performance portability of OpenCL applications.
Thomas L. FalchAnne C. ElsterPublished in: Concurr. Comput. Pract. Exp. (2017)
Keyphrases
- machine learning
- text classification
- pattern recognition
- knowledge acquisition
- machine learning algorithms
- machine learning methods
- knowledge representation
- data mining
- learning tasks
- computer vision
- information extraction
- learning algorithm
- shared memory
- tuning parameters
- machine learning approaches
- learning systems
- fine tuning
- model selection
- text mining
- knowledge discovery
- feature selection
- artificial intelligence
- general purpose
- data analysis
- inductive learning
- computational biology
- machine learning and data mining
- databases
- supervised machine learning
- database