colmena: Intelligent Steerable Pipelines on HPC

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gpauloski from gravatar.com gpauloski Avatar for wardlt from gravatar.com wardlt Avatar for yadunand from gravatar.com yadunand

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License, Version 2.0)
  • Author: Globus Labs
  • Tags parsl, HPC
  • Requires: Python >=3.7.*
Classifiers

Project description

Colmena

CI Documentation Status PyPI version Coverage Status

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 — 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.

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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gpauloski from gravatar.com gpauloski Avatar for wardlt from gravatar.com wardlt Avatar for yadunand from gravatar.com yadunand

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License, Version 2.0)
  • Author: Globus Labs
  • Tags parsl, HPC
  • Requires: Python >=3.7.*
Classifiers

Release history Release notifications | RSS feed

0.7.0

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.4

This version

0.3.3

0.3.2

0.3.1

0.3.0

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1

0.1.0

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

colmena-0.3.3.tar.gz (39.3 kB view details)

Uploaded Source

Built Distribution

colmena-0.3.3-py3-none-any.whl (45.5 kB view details)

Uploaded Python 3

File details

Details for the file colmena-0.3.3.tar.gz.

File metadata

  • Download URL: colmena-0.3.3.tar.gz
  • Upload date:
  • Size: 39.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for colmena-0.3.3.tar.gz
Algorithm Hash digest
SHA256 4c881d223d2cb992a2e8dcf979ba53001aa85befbcd940bf93688c25852cd5ff
MD5 398f2dac8065d2680f5db3f985778390
BLAKE2b-256 5e2ace48661ba3958c01bc10c12a69584c6867c99488678618ef12ad4cace998

See more details on using hashes here.

File details

Details for the file colmena-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: colmena-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 45.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for colmena-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3fd63ab8cbe8a27888efbaa6081a360e5f95b34e1099ab5c5dfe263ad1415e40
MD5 a6f2db0745b8ab2ceee5da0c5aaacdc6
BLAKE2b-256 c486d57644a66f7a1f12bed65a4bc0d124bbe0d3028987899dad4e2ef6add188

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page