name: hpc-context description: SLURM and HPC guidance for Mycelia benchmarks and large-scale analysis
Mycelia HPC Context
Guidance for running Mycelia on HPC systems with SLURM.
Benchmark Commands
Local small/medium/large benchmarks:
julia --project=. benchmarking/benchmark_runner.jl small
julia --project=. benchmarking/benchmark_runner.jl medium
julia --project=. benchmarking/benchmark_runner.jl large
SLURM submission (resource-intensive):
sbatch benchmarking/run_all_benchmarks.sh
Key Directories
benchmarking/- Heavy benchmark scriptsresults/- Generated artifactsci/hpc/- HPC-specific CI configuration
Resource Considerations
- Use memory estimation utilities from
utility-functions.jlfor large-scale analyses - Keep external tool calls isolated in helpers under
src/ - Avoid committing generated outputs or large files
- Note external tool or dataset requirements explicitly
Portability
- Use
joinpathfor all file paths - Test on multiple environments when possible
- Document any HPC-specific requirements
- Consider job scheduler compatibility (SLURM, PBS, etc.)
Tutorial/Benchmark Guidelines
- Do NOT add generally useful functions in
tutorials/,test/, orbenchmarking/ - If a helper is broadly useful, add it under
src/and call from tutorial - Tutorials demonstrate core Mycelia functionality
- Avoid defining new helper functions except true one-offs
- Prefer Rhizomorph graph/assembly functionality over legacy base-graph APIs