Performance prediction of massively parallel computation by Bayesian inference.
Hisashi KohashiHarumichi IwamotoTakeshi FukayaYusaku YamamotoTakeo HoshiPublished in: CoRR (2021)
Keyphrases
- graphical models
- random variables
- bayesian inference
- massively parallel
- probabilistic model
- parallel computers
- parallel computing
- statistical inference
- fine grained
- hyperparameters
- bayesian model
- prior information
- variational bayes
- high performance computing
- variational inference
- expectation maximization
- gibbs sampler
- mixture model
- bayesian models
- hierarchical bayesian
- parallel machines
- expectation propagation
- parallel architectures
- field programmable gate array
- em algorithm
- particle filter
- machine learning