Parallel Formulations of Matrix-Vector Multiplication for Matrices with Large Aspect Ratios.
John LloydPublished in: PDP (1996)
Keyphrases
- matrix multiplication
- sparse matrix
- eigenvalues and eigenvectors
- distributed memory
- symmetric matrices
- matrix representation
- rows and columns
- singular value decomposition
- coefficient matrix
- positive definite
- floating point
- symmetric matrix
- linear algebra
- perturbation theory
- square matrices
- linear complementarity problem
- covariance matrix
- parallel processing
- singular values
- positive semidefinite
- shared memory
- projection matrices
- sparse matrices
- data matrix
- parallel implementation
- systems of linear equations
- symmetric positive definite
- projection matrix
- low rank matrix
- low rank and sparse
- correlation matrix
- distance matrix
- feature vectors
- low rank approximation
- message passing
- linear combination
- adjacency matrix
- block diagonal
- computer architecture
- random projections
- low rank
- optimization methods
- vector space
- feature space