Studying the Effects of Hashing of Sparse Deep Neural Networks on Data and Model Parallelisms.
Mohammad Hasanzadeh-MofradRami G. MelhemMuhammad Yousuf AhmadMohammad HammoudPublished in: HPEC (2020)
Keyphrases
- neural network
- experimental data
- prior knowledge
- data analysis
- data sets
- simulation data
- data structure
- database
- raw data
- statistical methods
- computational model
- high dimensional data
- training data
- sparse data
- neural network model
- data processing
- input data
- image data
- high level
- data sources
- objective function
- data mining techniques
- predictive model
- empirical data
- xml documents
- network structure
- data distribution
- mathematical model
- probability distribution
- data collection
- genetic algorithm
- test data
- spatial data
- feature selection
- prior information
- missing data
- recurrent neural networks
- multi layer
- probabilistic model
- synthetic data
- measured data