Prediction of SGEMM GPU Kernel Performance Using Supervised and Unsupervised Machine Learning Techniques.
Sanket AgrawalAkshay BansalSandeep RathorPublished in: ICCCNT (2018)
Keyphrases
- supervised learning
- semi supervised
- unsupervised learning
- unsupervised methods
- machine learning
- supervised classification
- discriminant projection
- prediction accuracy
- prediction model
- kernel methods
- semi supervised learning
- least squares support vector machine
- machine learning approaches
- word sense induction
- prediction algorithm
- supervised training
- real time
- kernel function
- parallel implementation
- supervised methods
- neural network
- parallel computing
- machine learning algorithms
- unsupervised manner
- unsupervised feature selection
- general purpose
- support vector machine
- gpu accelerated
- supervised and semi supervised
- nonlinear kernel
- data sets