Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors.
Andrés E. TomásEnrique S. Quintana-OrtíHartwig AnztPublished in: CoRR (2024)
Keyphrases
- graphics processors
- singular value decomposition
- low rank approximation
- singular values
- singular vectors
- coefficient matrix
- sparse matrix
- least squares
- dimensionality reduction
- low rank
- data matrix
- gpu implementation
- parallel algorithm
- high dimensional
- sparse representation
- spectral clustering
- general purpose
- principal component analysis
- real time