Appropriate allocation of workloads on performance asymmetric multicore architectures via deep learning algorithms.
Gomatheeshwari BJ. SelvakumarPublished in: Microprocess. Microsystems (2020)
Keyphrases
- learning algorithm
- deep architectures
- computer systems
- training data
- deep learning
- database systems
- memory management
- machine learning algorithms
- multicore processors
- optimal allocation
- learning problems
- resource allocation
- unsupervised learning
- machine learning
- supervised learning
- data processing
- back propagation
- learning tasks
- efficient learning
- learning rate
- reinforcement learning
- learning scheme
- scheduling problem
- training samples
- active learning
- decision tree learning
- allocation scheme
- dynamic allocation
- allocation problems
- learning models
- training examples
- social welfare
- hypothesis space
- learning process
- learning paradigms
- computing power
- access patterns
- shared memory
- real time