Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training.
Can KarakusRahul HuilgolFei WuAnirudh SubramanianCade DanielDerya ÇavdarTeng XuHaohan ChenArash RahnamaLuis QuintelaPublished in: CoRR (2021)
Keyphrases
- computational model
- probabilistic model
- statistical model
- bayesian framework
- theoretical analysis
- unified model
- generic model
- experimental data
- mathematical model
- data sets
- management system
- high level
- input data
- artificial neural networks
- theoretical framework
- process model
- similarity measure
- image sequences
- case study
- formal model
- prediction model
- decision trees
- machine learning