Difference between revisions of "Draft:Software Installation Policies and Guidelines"
Jump to navigation
Jump to search
Line 2: | Line 2: | ||
*TODO: post a terminator whitelist to #apps and try running it manually before letting it loose via a | *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. | *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. | ||
− | * | + | *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 18:32, 4 February 2023
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.
- 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.
- 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.