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slurm-job-script-generator

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Generate SLURM `sbatch` job scripts and sanity-check HPC resource requests (nodes, tasks, CPUs, memory, GPUs) for simulation runs. Use when preparing submission scripts, deciding MPI vs MPI+OpenMP layouts, standardizing `#SBATCH` directives, or debugging job launch configuration (`sbatch`/`srun`).

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SLURM Job Script Generator

Goal

Generate a correct, copy-pasteable SLURM job script (.sbatch) for running a simulation, and surface common configuration mistakes (bad walltime format, conflicting memory flags, oversubscription hints).

Requirements

  • Python 3.8+
  • No external dependencies (Python standard library only)
  • Works on Linux, macOS, and Windows (script generation only)

Inputs to Gather

InputDescriptionExample
Job nameShort identifier for the jobphasefield-strong-scaling
WalltimeSLURM time limit00:30:00
PartitionCluster partition/queue (if required)compute
AccountProject/account (if required)matsim
NodesNumber of nodes to allocate2
MPI tasksTotal tasks, or tasks per node128 or 64 per node
ThreadsCPUs per task (OpenMP threads)2
Memory--mem or --mem-per-cpu (cluster policy dependent)32G
GPUsGPUs per node (optional)4
Working directoryWhere the run should execute$SLURM_SUBMIT_DIR
ModulesEnvironment modules to load (optional)gcc/12, openmpi/4.1
Run commandThe command to launch under SLURM./simulate --config cfg.json

Decision Guidance

MPI vs MPI+OpenMP layout

Does the code use OpenMP / threading?
├── NO  → Use MPI-only: cpus-per-task=1
└── YES → Use hybrid: set cpus-per-task = threads per MPI rank
          and export OMP_NUM_THREADS = cpus-per-task

Rule of thumb: if you see diminishing strong-scaling efficiency at high MPI ranks, try fewer ranks with more threads per rank (and measure).

Memory flag selection

  • Use either --mem (per node) or --mem-per-cpu (per CPU), not both.
  • Follow your cluster’s documentation; some sites enforce one style.
  • SLURM --mem units are integer MB by default, or an integer with suffix K/M/G/T (and --mem=0 commonly means “all memory on node”).

Script Outputs (JSON Fields)

ScriptKey Outputs
scripts/slurm_script_generator.pyresults.script, results.directives, results.derived, results.warnings

Workflow

  1. Gather cluster constraints (partition/account, GPU policy, memory policy).
  2. Choose a process layout (MPI-only vs hybrid MPI+OpenMP).
  3. Generate the script with slurm_script_generator.py.
  4. Inspect warnings (conflicts, suspicious layouts).
  5. Save the generated script as job.sbatch.
  6. Submit with sbatch job.sbatch and monitor with squeue.

CLI Examples

# Preview a job script (prints to stdout)
python3 skills/hpc-deployment/slurm-job-script-generator/scripts/slurm_script_generator.py \
  --job-name phasefield \
  --time 00:10:00 \
  --partition compute \
  --nodes 1 \
  --ntasks-per-node 8 \
  --cpus-per-task 2 \
  --mem 16G \
  --module gcc/12 \
  --module openmpi/4.1 \
  -- \
  ./simulate --config config.json

# Write to a file and also emit structured JSON
python3 skills/hpc-deployment/slurm-job-script-generator/scripts/slurm_script_generator.py \
  --job-name phasefield \
  --time 00:10:00 \
  --nodes 1 \
  --ntasks 16 \
  --cpus-per-task 1 \
  --out job.sbatch \
  --json \
  -- \
  /bin/echo hello

Conversational Workflow Example

User: I need an sbatch script for my MPI simulation. I want 2 nodes, 64 ranks per node, 2 OpenMP threads per rank, and 2 hours.

Agent workflow:

  1. Confirm partition/account and whether GPUs are needed.
  2. Generate a hybrid job script:
    python3 scripts/slurm_script_generator.py --job-name run --time 02:00:00 --nodes 2 --ntasks-per-node 64 --cpus-per-task 2 -- -- ./simulate
    
  3. Explain the mapping:
    • Total ranks = 128
    • Threads per rank = 2 (OMP_NUM_THREADS=2)
  4. If the user provides node core counts, sanity-check oversubscription using --cores-per-node.

Error Handling

ErrorCauseResolution
time must be HH:MM:SS or D-HH:MM:SSBad walltime formatUse 00:30:00 or 1-00:00:00
nodes must be positiveNon-positive nodesProvide --nodes >= 1
Provide either --mem or --mem-per-cpu, not bothConflicting memory directivesChoose one memory style
Provide a run command after --Missing launch commandAdd -- ./simulate ...

Limitations

  • Does not query cluster hardware or site policies; it can only validate internal consistency.
  • SLURM installations vary (GPU directives, QoS rules, partitions). Adjust directives for your site.

References

  • references/slurm_directives.md - Common #SBATCH directives and mapping tips

Version History

  • v1.0.0 (2026-02-25): Initial SLURM job script generator