Scalable Parallel Generation of Very Large Sparse Benchmark Matrices.
Daniel LangrIvan SimecekPavel TvrdíkTomás DytrychPublished in: PPAM (1) (2013)
Keyphrases
- coefficient matrix
- sparse matrix
- web scale
- sparse data
- multi processor
- parallel implementation
- neural network
- compressed sensing
- shared memory
- parallel processing
- singular value decomposition
- data sets
- sparse representation
- high dimensional
- low rank matrices
- floating point
- compressive sensing
- generation process
- map reduce
- pairwise
- low rank matrix