passage: Parallel code generation for hierarchical Bayesian modeling.

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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.


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Versions [RSS] 0.1
Dependencies array, base (>=3 && <5), containers, directory, filepath, GraphSCC, monadLib, mwc-random, pretty, primitive, process, random [details]
License BSD-3-Clause
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)
Maintainer Chad Scherrer
Category Statistical Modeling, Code Generation
Uploaded by ChadScherrer at 2011-10-13T21:48:29Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 1393 total (6 in the last 30 days)
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Readme for passage-0.1

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Passage (Parallel Sampler Generator) is an Bayesian modeling EDSL. Given a model specification and data, Passage generates low-level code for sampling the posterior distribution in parallel using OpenMP threads.