Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective.
Chen JinQiang FuHuahua WangWilliam HendrixZhengzhang ChenAnkit AgrawalArindam BanerjeeAlok N. ChoudharyPublished in: CCGRID (2015)
Keyphrases
- map inference
- high performance computing
- graphical models
- graph structure
- belief propagation
- massively parallel
- random variables
- probabilistic model
- probabilistic graphical models
- probabilistic inference
- parallel computing
- energy efficiency
- computing systems
- markov networks
- approximate inference
- grid computing
- structure learning
- conditional random fields
- bayesian networks
- fault tolerance
- image labeling
- belief networks
- markov random field
- cutting plane
- lower bound