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Added available memory to GPU resource table

Closed Added available memory to GPU resource table
gpu_update into master
Closed Carrie A Brown requested to merge gpu_update into master
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content/guides/submitting_jobs/submitting_cuda_or_openacc_jobs.md
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@@ -9,12 +9,12 @@ Crane has four types of GPUs available in the **gpu** partition. The
type of GPU is configured as a SLURM feature, so you can specify a type
of GPU in your job resource requirements if necessary.
| Description | SLURM Feature | Available Hardware |
| Description | SLURM Feature | Available Hardware |
| -------------------- | ------------- | ---------------------------- |
| Tesla K20, non-IB | gpu_k20 | 3 nodes - 2 GPUs per node |
| Teska K20, with IB | gpu_k20 | 3 nodes - 3 GPUs per node |
| Tesla K40, with IB | gpu_k40 | 5 nodes - 4 K40M GPUs per node<br> 1 node - 2 K40C GPUs |
| Tesla P100, with OPA | gpu_p100 | 2 nodes - 2 GPUs per node |
| Tesla K20, non-IB | gpu_k20 | 3 nodes - 2 GPUs with 4 GB mem per node |
| Teska K20, with IB | gpu_k20 | 3 nodes - 3 GPUs with 4 GB mem per node |
| Tesla K40, with IB | gpu_k40 | 5 nodes - 4 K40M GPUs with 11 GB mem per node<br> 1 node - 2 K40C GPUs |
| Tesla P100, with OPA | gpu_p100 | 2 nodes - 2 GPUs with 12 GB per node |
To run your job on the next available GPU regardless of type, add the