llnl / llnl/benchpark

Extend docs to specify checklist of what's needed for experiment

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Description

How can each item be tested in GitHub CI, and at which stage:

- [ ] benchpark audit
- [ ] ramble dryrun
- [ ] ramble setup
- [ ] ramble on - a test will run a problem on a single x86 node

**Mandatory**:

- [ ] single node #492
- [ ] CPU-only problem - an x86 test? The allocation modifier makes sure there is an experiment with 0 GPUs required?
- [ ] 1 prog model (i.e., derived from ??) - can benchpark audit be used for this?
- [x] add a ``dryrun``
- [ ] exit code from main - can only be tested when the test is running (ramble on) - how does GitLab CI test this?

**Optional**:

- [ ] caliper/adiak integration (i.e., derived from CaliperExperiment?) - can benchpark audit be used for this?
- [ ] GPU prog models (i.e., derived from CudaExperiment, RocmExperiment?) - can benchpark audit be used for this?
- [ ] FOM+problem size

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