Algorithmic optimizations of a conjugate gradient solver on shared memory architectures.
Henrik LöfJarmo RantakokkoPublished in: Int. J. Parallel Emergent Distributed Syst. (2006)
Keyphrases
- shared memory
- conjugate gradient
- parallel architectures
- heterogeneous platforms
- message passing
- parallel algorithm
- parallel computers
- training algorithm
- parallel computing
- convergence rate
- parallel programming
- distributed memory
- maximum likelihood estimation
- levenberg marquardt
- faster convergence
- reproducing kernel hilbert space
- multi core processors
- image processing
- machine learning
- convergence speed
- back propagation
- least squares
- high resolution
- artificial neural networks