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Commit ac70d947 authored by Jan Siwiec's avatar Jan Siwiec
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Update resources-allocation-policy.md

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......@@ -13,7 +13,7 @@ Queues provide prioritized and exclusive access to the computational resources.
!!! important "Queues update"
We are introducing updated queues.
These have the same parameters as the legacy queues but are divided based on resource type (`qcpu_` for non-accelerated nodes and `qgpu_` for accelerated nodes).<br><br>
Note that on the Karolina's `qgpu` queue, **you can now allocate 1/8 of the node (1 GPU & 16 cores)**. For more information, see the [vnodes section][4].<br><br>
Note that on the Karolina's `qgpu` queue, **you can now allocate 1/8 of the node (1 GPU & 16 cores)**. For more information, see [Allocation of vnodes on qgpu][4].<br><br>
We have also added completely new queues `qcpu_preempt` and `qgpu_preempt`. For more information, see the table below.
### New Queues
......@@ -21,7 +21,7 @@ Queues provide prioritized and exclusive access to the computational resources.
| <div style="width:80px">Queue</div>| Description |
| -------------------------------- | ----------- |
| `qcpu` | Production queue for non-accelerated nodes intended for standard production runs. Requires an active project with nonzero remaining resources. Full nodes are allocated. Identical to `qprod`. |
| `qgpu` | Dedicated queue for accessing the NVIDIA accelerated nodes. Requires an active project with nonzero remaining resources. It utilizes 8x NVIDIA A100 with 320GB HBM2 memory per node. The PI needs to explicitly ask support for authorization to enter the queue for all users associated with their project. **On Karolina, you can allocate 1/8 of the node (1 GPU & 16 cores)**. For more information, see the [vnodes section][4]. |
| `qgpu` | Dedicated queue for accessing the NVIDIA accelerated nodes. Requires an active project with nonzero remaining resources. It utilizes 8x NVIDIA A100 with 320GB HBM2 memory per node. The PI needs to explicitly ask support for authorization to enter the queue for all users associated with their project. **On Karolina, you can allocate 1/8 of the node (1 GPU & 16 cores)**. For more information, see [Allocation of vnodes on qgpu][4]. |
| `qcpu_biz`<br>`qgpu_biz` | Commercial queues, slightly higher priority. |
| `qcpu_eurohpc`<br>`qgpu_eurohpc` | EuroHPC queues, slightly higher priority, **Karolina only**. |
| `qcpu_exp`<br>`qgpu_exp` | Express queues for testing and running very small jobs. Doesn't require a project. There are 2 nodes always reserved (w/o accelerators), max 8 nodes available per user. The nodes may be allocated on a per core basis. It is configured to run one job and accept five jobs in a queue per user. |
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