Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks.
Elrasheed Ismail Mohommoud ZayidMehmet Fatih AkayPublished in: Neural Comput. Appl. (2013)
Keyphrases
- message passing
- using artificial neural networks
- multiprocessor architecture
- belief propagation
- production system
- artificial neural networks
- distributed systems
- factor graphs
- probabilistic inference
- inference in graphical models
- shared memory
- approximate inference
- markov random field
- neural network model
- sum product algorithm
- neural network
- matrix multiplication
- message passing interface
- graph cuts
- linear programming
- graphical models
- ldpc codes
- optimal solution
- sum product
- distributed shared memory