Difference between revisions of "Draft:Software Installation Policies and Guidelines"

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General Discussion
 
General Discussion
*User login server abuse—what to do? TODO: post a terminator whitelist to #apps and try
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*User login server abuse—what to do? TODO: post a terminator whitelist to #apps and try running it manually before letting it loose via a The login nodes might be big enough that we have a large gap between the resources cgroups_py tries to keep available and our login policy. Checkout the 'arbiter' script again. Describe the functionality of the main R and python environments vs more specific environments like pytorch and tensorflow or domain-specific collections like geopython or DJppytt)Q0
running it manually before letting it loose via a The login nodes might be big
 
enough that we have a large gap between the resources cgroups_py tries to keep
 
available and our login policy. Checkout the 'arbiter' script again. Describe the
 
functionality of the main R and python environments vs more specific environments like
 
pytorch and tensorflow or domain-specific collections like geopython or DJppytt)Q0
 
  
 
TODO: write a help page on software installation guidelines, use expectations, and limits.
 
TODO: write a help page on software installation guidelines, use expectations, and limits.

Revision as of 19:25, 3 February 2023

General Discussion

  • User login server abuse—what to do? TODO: post a terminator whitelist to #apps and try running it manually before letting it loose via a The login nodes might be big enough that we have a large gap between the resources cgroups_py tries to keep available and our login policy. Checkout the 'arbiter' script again. Describe the functionality of the main R and python environments vs more specific environments like pytorch and tensorflow or domain-specific collections like geopython or DJppytt)Q0

TODO: write a help page on software installation guidelines, use expectations, and limits.


Things we want to see on that page

  • Recommendations on using our prebuilt e.nys vs building their own in the context

of speed of customization vs. maintaining functional environments. Focus on R and python at first.

  • Curated list Of prebuilt environments for users to reference in the context Of the

above recommendations.

  • Published environment.yml files for the popular environments like pytorch, which

users could refer to when starting to build their or use prebuilt containers e.g. pytorch container from NVIDIA.

  • Availability of the linux software installed in lapps in ResVault.