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

Revision as of 18:33, 4 February 2023

User login server abuse: 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
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.

@@ Line 1: / Line 1: @@
-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.
+* User login server abuse: 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
 * 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.