Bayesian Optimization for auto-tuning GPU kernels.
Floris-Jan WillemsenRob van NieuwpoortBen van WerkhovenPublished in: PMBS (2021)
Keyphrases
- gpu implementation
- real time
- graphics processors
- optimization algorithm
- monte carlo sampling
- kernel machines
- optimization process
- global optimization
- efficient optimization
- fine tuning
- kernel methods
- optimization method
- optimization problems
- support vector
- linear combination
- optimization methods
- data driven
- neural network
- expectation maximization
- constrained optimization
- gaussian processes
- bayesian estimation
- feature space
- machine learning