On the Efficiency of Supernodal Factorization in Interior-Point Method Using CPU-GPU Collaboration.
Usman Ali ShahSuhail YousafIftikhar AhmadMuhammad Ovais AhmadPublished in: IEEE Access (2020)
Keyphrases
- interior point methods
- convex optimization
- graphics processing units
- graphics processors
- semidefinite programming
- low rank
- computational complexity
- gpu implementation
- matrix factorization
- linear programming
- general purpose
- pairwise
- singular value decomposition
- linear program
- machine learning
- computationally intensive
- upper bound
- inequality constraints