Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach.
Peng ZhangJianbin FangCanqun YangChun HuangTao TangZheng WangPublished in: CoRR (2020)
Keyphrases
- machine learning
- data streams
- knowledge acquisition
- artificial intelligence
- computer vision
- multicore processors
- pattern recognition
- information extraction
- parallel architectures
- decision trees
- heterogeneous environments
- text mining
- machine learning approaches
- inductive learning
- stream processing
- machine learning methods
- streaming data
- machine learning algorithms
- scalable video
- real time streaming
- natural language processing
- feature selection
- natural language
- heterogeneous networks
- learning algorithm
- parallel execution
- knowledge base
- web services
- parallel computers
- reinforcement learning
- parallel computation
- text classification
- computer science
- video streaming
- shared memory
- query processing
- active learning
- learning problems
- learning tasks
- learning systems