An Appropriate Computing System and Its System Parameters Selection Based on Bottleneck Prediction of Applications.
Kazuhiko KomatsuTakumi KishitaniMasayuki SatoHiroaki KobayashiPublished in: IPDPS Workshops (2019)
Keyphrases
- linear regression model
- prediction accuracy
- prediction model
- parameter values
- fine tuning
- parameter optimization
- multiscale
- hidden markov models
- parameter estimation
- phase space reconstruction
- database
- radial basis function network
- radial basis function neural network
- maximum likelihood estimation
- prediction error
- expectation maximization
- image quality
- computer vision
- machine learning
- real world