Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs.
Olena SchuesslerDiego G. LoyolaPublished in: ICANNGA (1) (2011)
Keyphrases
- computer architecture
- artificial neural networks
- parallel computing
- computer systems
- parallel programming
- multi threaded
- shared memory
- feed forward neural networks
- processing units
- graphics processing units
- neural network
- back propagation
- multi layer perceptron
- evolutionary artificial neural networks
- multi core systems
- parallel computation
- parallel processing
- message passing
- training algorithm
- feedforward artificial neural networks
- computational intelligence
- neural network model
- training set
- data sets
- parallel architectures
- multithreading
- multi core processors
- commodity hardware
- highly parallel
- memory access
- benchmark classification problems
- distributed memory
- massively parallel
- test set
- training samples
- supervised learning
- programming environment
- parallel execution
- using artificial neural networks
- training phase
- training process
- feed forward
- parallel algorithm
- level parallelism
- training examples