Difference between revisions of "BwUniCluster2.0/Software/Python Dask"
< BwUniCluster2.0 | Software
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== Installation == |
== Installation == |
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| − | Use on of our pre-configured Python modules and load them with 'module load ...'. You have to install the packages 'dask' and 'das-jobqueue' if your are yousing an own conda environment. |
+ | Use on of our pre-configured Python modules and load them with 'module load ...'. You have to install the packages 'dask' and 'das-jobqueue' if your are yousing an own conda environment. |
| + | |||
| + | == Using Dask == |
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| + | In Python, execute the following commands: |
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| + | |||
| + | <pre> |
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| + | >>> from dask_jobqueue import SLURMCluster |
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| + | >>> cluster = SLURMCluster(cores=XX, memory='XX GB', queue='XXX') |
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| + | </pre> |
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[[Category:bwUniCluster_2.0|Access]][[Category:Access|bwUniCluster 2.0]] |
[[Category:bwUniCluster_2.0|Access]][[Category:Access|bwUniCluster 2.0]] |
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Revision as of 10:45, 19 April 2020
This guide explains how to use Python Dask and dask-jobqueue on bwUniCluster2.0.
1 Installation
Use on of our pre-configured Python modules and load them with 'module load ...'. You have to install the packages 'dask' and 'das-jobqueue' if your are yousing an own conda environment.
2 Using Dask
In Python, execute the following commands:
>>> from dask_jobqueue import SLURMCluster >>> cluster = SLURMCluster(cores=XX, memory='XX GB', queue='XXX')
