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Expand and regroup SAI GPU validation #7764

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2 changes: 1 addition & 1 deletion .ci/slurm/README.md
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Expand Up @@ -97,7 +97,7 @@ python3 .ci/slurm/runner.py run --help
- `[resource.NAME]`: the same allocation fields plus `parallelism`, the maximum number of array tasks running at once. Each resource must have a case. There is one rank per GPU and no resource may exceed 16 GPUs.
- `[case.NNN]`: contiguous, zero-padded sections with `suite`, `name`, `resource`, and `runner` (`autotest` or `cusolvermp`).

Resource component labels are generated, not configured separately. A single-node resource is shown as `N GPU` or `N GPUs`; a multi-node resource is shown as `N nodes / M GPUs`. Thus `gpu1`, `gpu2`, and `gpu4` display `1 GPU`, `2 GPUs`, and `4 GPUs`; `gpu8x2` displays `2 nodes / 16 GPUs`. `case.049` is `15_rtTDDFT_GPU/19_NO_Si48_CUSOLVERMP_TDDFT_GPU`; it uses `gpu8x2` and the `cusolvermp` runner.
Resource labels are generated, not configured separately. A single-node resource is shown as `N GPU` or `N GPUs`; a multi-node resource is shown as `N nodes / M GPUs`. Thus `gpu1`, `gpu2`, and `gpu4` display `1 GPU`, `2 GPUs`, and `4 GPUs`; `gpu4x2` displays `2 nodes / 8 GPUs`. Test results are reported by their `tests/` folder even though Slurm arrays remain grouped by resource. `case.049` is `15_rtTDDFT_GPU/19_NO_Si48_CUSOLVERMP_TDDFT_GPU`; it uses `gpu4x2` and the `cusolvermp` runner.

## Results and retention

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