e-learning
Mapping Jobs to Destinations using TPV
Abstract
This tutorial heavily builds on the Connecting Galaxy to a compute cluster and it's expected you have completed this tutorial first.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How can I configure job dependent resources, like cores, memory for my DRM?
- How can I map jobs to resources and destinations
Learning Objectives
- Know how to map tools to job destinations
- Be able to use the dynamic job runner to make arbitrary destination mappings
- Understand the job resource selector config and dynamic rule creation
- The various ways in which tools can be mapped to destinations, both statically and dynamically
- How to write a dynamic tool destination (DTD)
- How to write a dynamic python function destination
- How to use the job resource parameter selection feature
Licence: Creative Commons Attribution 4.0 International
Keywords: Galaxy Server administration, git-gat, jobs
Target audience: Galaxy Administrators
Resource type: e-learning
Version: 36
Status: Active
Prerequisites:
Connecting Galaxy to a compute cluster
Learning objectives:
- Know how to map tools to job destinations
- Be able to use the dynamic job runner to make arbitrary destination mappings
- Understand the job resource selector config and dynamic rule creation
- The various ways in which tools can be mapped to destinations, both statically and dynamically
- How to write a dynamic tool destination (DTD)
- How to write a dynamic python function destination
- How to use the job resource parameter selection feature
Date modified: 2024-06-14
Date published: 2021-01-17
Contributors: Catherine Bromhead, Edwin den Haas, Enis Afgan, Helena Rasche
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