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Select from the following quick options for partition, number of cores, and time limit and memory allocation:
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The following advanced options are also available:
| Info |
|---|
To access the priority or priority-gpu partitions, make sure to include the proper “account” and “qos” in “Extra options”. |
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Accessing Shared Storage
Due to limitations from jupyter the file browser and initial working directory are limited to the users home directory.
There are several methods to access shared storage.
Within a Notebook:
| Code Block |
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import os
os.chdir('/shared')
os.chdir('/scratch')
or
%cd /shared
%cd /scratch |
In the File Browser:
Create a symlink in the users home directory.
| Code Block |
|---|
ln -s /path/to/directory <directoryName>
e.g.
ln -s /shared/ ~/shared |
Custom Environments
If you require a non-default python environment we provide setup examples here: custom environments.