Comments (5)
This looks more promising for our use case https://github.com/jdblischak/smk-simple-slurm
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Related: SnakeMake also comes with a linter, and there are more general best practices in the documentation, which we should review and follow to the degree they make sense.
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Regarding the use of profiles, this is a bit of a rabbit hole as to get snakemake to query the status of jobs you need a complex setup. This is solved by using cookie cutter profiles (as suggested by @vinisalazar) but that's a complex topic to teach so early in the lesson. It also impacts our portability a bit, since obviously we'll need different profiles for different schedulers.
A good example of why you want this is at snakemake/snakemake#1164
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See https://github.com/Snakemake-Profiles/slurm for the Slurm profile
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Profiles are helpful to avoid typing -c 1 at every invocation. Is Slurm something to emphasize throughout the lesson or enable flexible use both locally and on remote machines? One can also use Terraform to use cloud resources.
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Related Issues (20)
- primer docs for sprinters HOT 1
- spelling & linting actions HOT 1
- protect default branch before sprint HOT 1
- Generating our data files
- Locations where we may need to use templates HOT 2
- "Perfect" `snakemake` file for Amdahls Law HOT 1
- Plotting Amdahl's Law HOT 4
- Review lesson objectives HOT 9
- Location of final code products HOT 2
- Discuss limitations & alternatives to Snakemake HOT 4
- Add versions to requirements.txt HOT 5
- Carpentries Workbench
- Moore's law
- Create a profile
- Add description of of `-j` in the compute cluster configuration.
- Inline Python -> Lesson 10
- Flags on Amdahl
- Develop Snakefile on a node
- Consider Parsl HOT 2
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