Metadata-Version: 2.1
Name: colmena
Version: 0.1.3
Summary: colmena: Intelligent Steerable Pipelines on HPC
Home-page: https://github.com/exalearn/colmena
Author: Globus Labs
Author-email: labs@globus.org
License: Apache License, Version 2.0
Keywords: parsl,HPC
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6.*
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# Colmena

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[![Documentation Status](https://readthedocs.org/projects/colmena/badge/?version=latest)](https://colmena.readthedocs.io/en/latest/?badge=latest)
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Colmena is a library that supports applications which steer large campaigns of simulations on supercomputers.
Such "high-throughput" searches are commonly deployed on HPC and are, historically, 
guided by humans designating a search space manually &mdash; a time-consuming process.
Colmena was created to explore building applications high-throughput sweeps that replace human steering
with Artificial Intelligence (AI) experimental design methods. 

## Installation

We use Anaconda to define an environments:

``conda env create --file environment.yml --force``

will install all packages needed for the colmena library and demo applications.

Consult our [Installation Guide](https://colmena.readthedocs.io/en/latest/installation.html).

## Using Colmena

We are gradually building ``demo_apps`` which illustrate different approaches to using the prototype.

## Acknowledgements 

This project was supported in part by the Exascale Computing Project (17-SC-20-SC) of the U.S. Department of Energy (DOE) and by DOE’s Advanced Scientific Research Office (ASCR) under contract DE-AC02-06CH11357.


