GPU GEMM-Kernel Autotuning for scalable machine learners.
Johannes SailerChristian FreyChristian KühnertPublished in: ML4CPS (2018)
Keyphrases
- e learning
- learning experience
- real time
- learning materials
- learning styles
- learning activities
- learning systems
- learning strategies
- learning environment
- kernel function
- feature space
- learning resources
- support vector
- batch processing
- parallel computing
- learning process
- kernel methods
- learning processes
- parallel implementation
- gpu implementation
- convolution kernel
- collaborative learning
- learning objects
- learning scenarios
- learning community
- special case
- kernel learning
- graphics hardware
- digital signal processing