Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping.
Georgios TournavitisZheng WangBjörn FrankeMichael F. P. O'BoylePublished in: PLDI (2009)
Keyphrases
- machine learning
- parallel processing
- parallel execution
- shared memory
- object detection
- detection accuracy
- parallel computation
- detection algorithm
- false positives
- automatic detection
- detection rate
- data driven
- detection method
- data analysis
- learning algorithm
- natural language processing
- machine learning methods
- machine learning algorithms
- inductive learning
- false alarms
- machine learning approaches
- computational power
- feature selection
- support vector machine
- knowledge discovery
- pattern recognition
- reinforcement learning
- decision trees
- artificial intelligence
- anomaly detection
- learning systems
- knowledge acquisition
- text mining
- learning problems
- information extraction
- knowledge representation
- computer science
- knowledge base
- data mining