Fast truncated SVD of sparse and dense matrices on graphics processors.
Andrés E. TomásEnrique S. Quintana-OrtíHartwig AnztPublished in: Int. J. High Perform. Comput. Appl. (2023)
Keyphrases
- graphics processors
- singular value decomposition
- low rank approximation
- singular vectors
- singular values
- coefficient matrix
- sparse matrix
- low rank
- parallel algorithm
- gpu implementation
- least squares
- data matrix
- dimensionality reduction
- high dimensional
- sparse representation
- real time
- general purpose
- graphics processing units
- fine grained
- principal component analysis