Workflows: Difference between revisions
Jump to navigation
Jump to search
| Line 14: | Line 14: | ||
* [[Workflows/Parallel-Computing|Parallel Computing]] | * [[Workflows/Parallel-Computing|Parallel Computing]] | ||
* Embarrassingly Parallel | * Embarrassingly Parallel | ||
* Multi-threaded | * Multi-threaded | ||
* Multi-Process Workflows | * Multi-Process Workflows | ||
* Hybrid Workflows | * Hybrid Workflows | ||
Revision as of 19:15, 28 July 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
- Embarrassingly Parallel
- Multi-threaded
- Multi-Process Workflows
- 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