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mgrast/awe-submitter

By mgrast

•Updated almost 7 years ago

AWE submitter with CWL runner

Image
0

1.6K

mgrast/awe-submitter repository overview

AWE

A light weight workflow manager for scientific computing at scale that:

  • executes CWL⁠ workflows

  • is a cloud native workflow platform designed from the ground up to be fast, scalable and fault tolerant

  • supports CWLProv⁠

  • is RESTful. The API⁠ is accessible from desktops, HPC systems, exotic hardware, the cloud and your smartphone

  • is designed for complex scientific computing and supports computing on multiple platforms with zero setup

  • supports containerized environments with Docker and Singularity

  • is part of our reproducible science platform Skyport⁠ combined to create Researchobjects⁠ when combined with CWL⁠ and CWLProv⁠


Documentation can be found on the AWE github pages:

https://mg-rast.github.io/AWE/⁠

Tag summary

Content type

Image

Digest

Size

367.6 MB

Last updated

about 7 years ago

docker pull mgrast/awe-submitter