https://github.com/madsjulia/metaprogtools.jl
Meta Programming Tools
https://github.com/madsjulia/metaprogtools.jl
analyses decision-support high-performance-computing julia mads meta-programming
Last synced: about 1 month ago
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Meta Programming Tools
- Host: GitHub
- URL: https://github.com/madsjulia/metaprogtools.jl
- Owner: madsjulia
- License: gpl-3.0
- Created: 2016-01-26T14:31:15.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2020-10-20T01:07:55.000Z (over 4 years ago)
- Last Synced: 2025-04-11T11:18:02.411Z (about 2 months ago)
- Topics: analyses, decision-support, high-performance-computing, julia, mads, meta-programming
- Language: Julia
- Homepage: http://mads.gitlab.io
- Size: 41 KB
- Stars: 0
- Watchers: 8
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: Readme.md
- License: COPYING.md
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README
MetaProgTools
=======================================Meta Programming Tools.
MetaProgTools is a module of [MADS](http://madsjulia.github.io/Mads.jl).
MADS
====[MADS](http://madsjulia.github.io/Mads.jl) (Model Analysis & Decision Support) is an integrated open-source high-performance computational (HPC) framework in [Julia](http://julialang.org).
MADS can execute a wide range of data- and model-based analyses:* Sensitivity Analysis
* Parameter Estimation
* Model Inversion and Calibration
* Uncertainty Quantification
* Model Selection and Model Averaging
* Model Reduction and Surrogate Modeling
* Machine Learning and Blind Source Separation
* Decision Analysis and SupportMADS has been tested to perform HPC simulations on a wide-range multi-processor clusters and parallel environments (Moab, Slurm, etc.).
MADS utilizes adaptive rules and techniques which allows the analyses to be performed with a minimum user input.
The code provides a series of alternative algorithms to execute each type of data- and model-based analyses.Documentation
=============All the available MADS modules and functions are described at [madsjulia.github.io](http://madsjulia.github.io/Mads.jl)
Installation
============```julia
Pkg.add("Mads")
```Installation behind a firewall
------------------------------Julia uses git for the package management.
To install Julia packages behind a firewall, add the following lines in the `.gitconfig` file in your home directory:```git
[url "https://"]
insteadOf = git://
```or execute:
```bash
git config --global url."https://".insteadOf git://
```Set proxies:
```bash
export ftp_proxy=http://proxyout.:8080
export rsync_proxy=http://proxyout.:8080
export http_proxy=http://proxyout.:8080
export https_proxy=http://proxyout.:8080
export no_proxy=.
```For example, if you are doing this at LANL, you will need to execute the
following lines in your bash command-line environment:```bash
export ftp_proxy=http://proxyout.lanl.gov:8080
export rsync_proxy=http://proxyout.lanl.gov:8080
export http_proxy=http://proxyout.lanl.gov:8080
export https_proxy=http://proxyout.lanl.gov:8080
export no_proxy=.lanl.gov
```MADS examples
=============In Julia REPL, do the following commands:
```julia
import Mads
```To explore getting-started instructions, execute:
```julia
Mads.help()
```There are various examples located in the `examples` directory of the `Mads` repository.
For example, execute
```julia
include(Mads.madsdir * "/../examples/contamination/contamination.jl")
```to perform various example analyses related to groundwater contaminant transport, or execute
```julia
include(Mads.madsdir * "/../examples/bigdt/bigdt.jl")
```to perform Bayesian Information Gap Decision Theory (BIG-DT) analysis.
Developers
==========* [Velimir (monty) Vesselinov](http://www.lanl.gov/orgs/ees/staff/monty) [(publications)](http://scholar.google.com/citations?user=sIFHVvwAAAAJ)
* [Daniel O'Malley](http://www.lanl.gov/expertise/profiles/view/daniel-o'malley) [(publications)](http://scholar.google.com/citations?user=rPzCVjEAAAAJ)
* [see also](https://github.com/madsjulia/MetaProgTools.jl/graphs/contributors)Publications, Presentations, Projects
=====================================* [mads.lanl.gov/](http://mads.lanl.gov/)
* [ees.lanl.gov/monty](http://ees.lanl.gov/monty)