Modeling of tsunami waves and atmospheric swirling flows with graphics processing unit (GPU) and radial basis functions (RBF).
Jessica SchmidtCécile PiretNan ZhangBenjamin J. KadlecDavid A. YuenYingchun LiuGrady Barrett WrightErik O. D. SevrePublished in: Concurr. Comput. Pract. Exp. (2010)
Keyphrases
- radial basis function
- graphics processing units
- gpu implementation
- graphics hardware
- rbf neural network
- general purpose
- rbf network
- neural network
- artificial neural networks
- parallel computation
- multilayer perceptron
- parallel computing
- basis functions
- graphics processors
- real time
- support vector machine svm
- parallel implementation
- function approximation
- radial basis function neural network
- compute unified device architecture
- support vector
- floating point
- parallel processing
- massively parallel
- parallel programming
- high performance computing
- parallel architectures
- orthogonal least squares
- multi layer perceptron
- computing systems
- efficient implementation
- integral histogram
- radial basis function network
- hidden layer
- support vector machine
- rbfnn
- parallel algorithm
- structure from motion
- feature extraction
- cpu implementation
- image processing