Computing Low-Rank Approximation of a Dense Matrix on Multicore CPUs with a GPU and Its Application to Solving a Hierarchically Semiseparable Linear System of Equations.
Ichitaro YamazakiStanimire TomovJack J. DongarraPublished in: Sci. Program. (2015)
Keyphrases
- set of linear equations
- low rank approximation
- graphics processing units
- low rank matrix approximation
- singular value decomposition
- low rank
- linear systems
- low rank matrix
- subspace learning
- low rank matrices
- parallel processing
- spectral clustering
- kernel matrix
- parallel computing
- point correspondences
- adjacency matrix
- parallel programming
- machine learning
- iterative algorithms
- floating point
- nonnegative matrix factorization
- reconstruction error
- linear combination
- matrix factorization
- convex optimization
- high order
- dimensionality reduction
- semi supervised