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<strong>Welcome to the Computational Collective Unit (CCU)</strong>
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<strong>Welcome to the Collective Computational Unit (CCU)</strong>
  
 
The CCU takes care of the computational needs of the
 
The CCU takes care of the computational needs of the
 
[https://www.exc.uni-konstanz.de/collective-behaviour/ Centre of the Advanced Study of Collective Behaviour].
 
[https://www.exc.uni-konstanz.de/collective-behaviour/ Centre of the Advanced Study of Collective Behaviour].
It link tasks and projects posed by biologists with experts from computer science, and provides a global
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It links the many challenging problems arising in data analysis for collectives to experts from computer science, and provides a global
 
platform for discussion to which everyone can contribute.
 
platform for discussion to which everyone can contribute.
As a core facility, it also provides computational resources, code repositories and data storage for all its members.
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As a core facility, it also serves as a platform for computational resources, code repositories and data storage for all its members.
Over time, it will hopefully also become a knowledge base and reference for methods and expertise available in the CCU.
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Over time, this Wiki will also become a knowledge base and reference for methods and expertise available in the CCU.
  
  

Revision as of 13:35, 9 May 2019

Welcome to the Collective Computational Unit (CCU)

The CCU takes care of the computational needs of the Centre of the Advanced Study of Collective Behaviour. It links the many challenging problems arising in data analysis for collectives to experts from computer science, and provides a global platform for discussion to which everyone can contribute. As a core facility, it also serves as a platform for computational resources, code repositories and data storage for all its members. Over time, this Wiki will also become a knowledge base and reference for methods and expertise available in the CCU.


Important links


Getting started

  • General
- Becoming a registered user
- Accessing the GPU cluster
  • Projects
- Adding a new open project
- Tracking progress of a project
- Contributing to a project
- Closing a project
  • Computational resources
- Accessing the docker container repository
- Wrapping code in a container to run on the cluster
- Uploading data to the global storage
- Accessing data (for network training etc.) from the GPU cluster
- Using our git server to maintain your code
  • Mediawiki
- Consult the Mediawiki User's Guide for information on using the wiki software.