passage: Parallel code generation for hierarchical Bayesian modeling.
Passage is a PArallel SAmpler GEnerator. The user specifies a hierarchical Bayesian model and data using the Passage EDSL, and Passage generates code to sample the posterior distribution in parallel.
Currently Passage targets C with OpenMP threads.
[Skip to Readme]
|Dependencies||array, base (>=3 && <5), containers, directory, filepath, GraphSCC, monadLib, mwc-random, pretty, primitive, process, random [details]|
|Copyright||2011 Galois, Inc. and Battelle Memorial Institute|
|Author||Chad Scherrer (Pacific Northwest National Laboratory), Levent Erkok (Galois, Inc), Iavor Diatchki (Galois, Inc), Matthew Sottile (Galois, Inc)|
|Category||Statistical Modeling, Code Generation|
|Uploaded||by ChadScherrer at 2011-10-13T21:48:29Z|
|Downloads||1083 total (21 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
Docs uploaded by user
Build status unknown [no reports yet]
For package maintainers and hackage trustees