Optimizing Memory Layout of Hyperplane Ordering for Vector Supercomputer SX-Aurora TSUBASA.
Osamu WatanabeYuta HougiKazuhiko KomatsuMasayuki SatoAkihiro MusaHiroaki KobayashiPublished in: MCHPC@SC (2019)
Keyphrases
- hyperplane
- euclidean norm
- weight vector
- linearly independent
- support vector
- training samples
- data points
- linear classifiers
- feature space
- maximal margin
- input space
- feature vectors
- support vectors
- average distance
- convex hull
- kernel function
- principal components
- kernel space
- support vector machine
- linearly separable
- incremental learning algorithm
- massively parallel
- normal vectors
- svm classifier
- locality sensitive
- classification procedure
- small number
- high dimensional feature space
- linear separability
- computer vision
- neural network
- high dimensional
- training data
- supervised learning