Workflows: Difference between revisions
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* [[Workflows/Parallel-Computing|Parallel Computing]] | * [[Workflows/Parallel-Computing|Parallel Computing]] | ||
* Embarrassingly Parallel | * [[Workflows/Serial|Serial]] | ||
* Multi-threaded | * [[Workflows/Embarassinly-Parallel|Embarrassingly Parallel]] | ||
* Multi-Process | * [[Workflows/Multi-threaded|Multi-threaded]] | ||
* [[Workflows/Multi-Process|Multi-Process]] | |||
* Hybrid Workflows | * Hybrid Workflows | ||
* GPU workflows | * GPU workflows | ||
Latest revision as of 09:55, 5 August 2026
Guidelines and tools for building reproducible, efficient research workflows on Anunna.
In this section
- Workflow Migration from Laptop to HPC — moving your work to the cluster
- Reproducibility Guidelines — keeping your work reproducible
- Workflow Engines (Snakemake, Nextflow) — managing multi-step pipelines
- Debugging Jobs — working out why a job failed
- Checkpointing — saving and restarting long jobs
- Scheduled tasks (cron) — running recurring tasks with scrontab
Parallel Workflows
- Parallel Computing
- Serial
- Embarrassingly Parallel
- Multi-threaded
- Multi-Process
- Hybrid Workflows
- GPU workflows
Performance Optimization/Multiple CPUs — using several cores in one jobPerformance Optimization/Multiple nodes (MPI) — scaling across nodes with MPIPerformance Optimization/Multiple nodes (arrayjobs) — scaling with job arrays