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.
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- passage-0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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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 |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 1359 total (4 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |