HPC Orchestration
Use this skill as the repository-level execution layer above solver-specific HPC skills.
Start
- Read
references/cluster-operations-manual.mdfirst for any end-to-end cluster workflow. - Read
references/lifecycle-manual.mdwhen coordinating solver skills with orchestration stages. - Read
references/scheduler-and-parallelism.mdwhen choosing scheduler directives or MPI sizing. - Read
references/slurm-launch-patterns.mdwhen the main decision is how to launch work inside a Slurm allocation. - Read
references/environment-and-storage-hygiene.mdwhen environment modules, scratch policy, or filesystem behavior may decide workflow reliability. - Read
references/data-transfer-and-staging.mdwhen files must be synchronized, staged, archived, or verified. - Read
references/software-build-and-reproducibility.mdwhen compilation, package stacks, or rebuildability are in scope. - Read
references/interactive-debugging-and-profiling.mdwhen the task needs live diagnosis, scaling studies, or profiler evidence. - Read
references/remote-development-and-notebooks.mdwhen VS Code Remote SSH, Jupyter, or port forwarding is involved. - Read
references/container-workflows.mdwhen Apptainer or Singularity-style execution is in scope. - Read
references/public-protocol.mdwhen aligning solver skills with the repository lifecycle contract. - Read
references/error-pattern-dictionary.mdwhen scheduler, monitoring, or log-tracking failures occur.
Additional References
Load these on demand:
references/tools-and-scripts.mdfor shared execution tool rolesreferences/ecosystem-roadmap.mdfor repository-wide coverage goalsreferences/legacy-template.mdwhen adapting an older solver skill draft into the current format
Reusable Templates
Use assets/templates/ when a concrete scheduler scaffold is needed:
slurm-basic.shslurm-array.shslurm-packed-single-node.shslurm-apptainer.shslurm-perf-report.shpbs-basic.shlsf-basic.shrsync-stage-in.shjupyter-lab-compute.shssh-config-compute-proxy.example
Shared Scripts
Use scripts/ for deterministic orchestration tasks:
hpc_job_submitter.pyhpc_job_monitor.pyhpc_log_tracker.pyhpc_slurm_deploy.py
Guardrails
- Do not run heavy MPI workloads on login nodes.
- Do not separate queue submission from runtime monitoring in a production workflow.
- Do not resubmit unchanged failing jobs when a solver-specific error dictionary exists.
- Do not choose core counts without a scale-based heuristic.
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