UCL-ARC / UCL-ARC/rcps-buildscripts
Install Request: localcolabfold (GPU)
Nobody has claimed this yet.
- Dominant language
- Shell
- Stars
- 42
- Forks
- 26
- PR merge metrics
- No merged PRs in 30d
Description
IN:05282509
For Young GPU pilot users.
Contains fork of AlphaFold2 without the local databases.
1.3.0 is current release.
https://github.com/YoshitakaMo/localcolabfold
License: MIT
Requires: CUDA 11.1 or later, GNU compiler 4.9 or later.
It runs https://raw.githubusercontent.com/YoshitakaMo/localcolabfold/main/install_colabbatch_linux.sh which uses conda - we might need to unconda-ify this because not suitable for central install, though it also says "is also configured for system-wide use on a shared server" and that they use it with environment modules.
(Will need investigating if it can be installed centrally).
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading localcolabfold's install_colabbatch_linux.sh and the repository's existing package-build scripts. Investigate whether the installer supports central installation on a shared server with environment modules, including its CUDA 11.1+ and GNU compiler requirements; done means a documented, workable central-install approach or a clear reason it cannot be supported.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- shell
- Domain
- build-system, devops, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100