Merge branch 'rotscher--tu-dresden.de-preview-patch-93592' into 'preview'

Update doc.zih.tu-dresden.de/docs/jobs_and_resources/partitions_and_limits.md

Closes #171 and #249

See merge request !462

doc.zih.tu-dresden.de/docs/jobs_and_resources/partitions_and_limits.md

@@ -69,20 +69,29 @@ be aware of the limits shown in the following table.
 
     | Partition          | Nodes                                    | # Nodes | Cores per Node  | MB per Core | MB per Node | GPUs per Node     |
     |:-------------------|:-----------------------------------------|:--------|:----------------|:------------|:------------|:------------------|
-    | `haswell64`        | `taurusi[4001-4104,5001-5612,6001-6612]` | `1328`  | `24`            | `2541`       | `61000`    | `-`               |
+    | `interactive`      | `taurusi[6605-6612]`                     | `8`     | `24`            | `2541`       | `61000`    | `-`               |
+    | `haswell64`        | `taurusi[4037-4104,5001-5612,6001-6604]` | `1284`  | `24`            | `2541`       | `61000`    | `-`               |
+    | `haswell64ht`      | `taurusi[4018-4036]`                     | `18`    | `24 (HT: 48)`   | `1270*`       | `61000`    | `-`               |
     | `haswell128`       | `taurusi[4105-4188]`                     | `84`    | `24`            | `5250`       | `126000`   | `-`               |
     | `haswell256`       | `taurusi[4189-4232]`                     | `44`    | `24`            | `10583`      | `254000`   | `-`               |
     | `broadwell`        | `taurusi[4233-4264]`                     | `32`    | `28`            | `2214`       | `62000`    | `-`               |
     | `smp2`             | `taurussmp[3-7]`                         | `5`     | `56`            | `36500`      | `2044000`  | `-`               |
-    | `gpu2`             | `taurusi[2045-2106]`                     | `62`    | `24`            | `2583`       | `62000`    | `4 (2 dual GPUs)` |
-    | `gpu2-interactive` | `taurusi[2045-2108]`                     | `64`    | `24`            | `2583`       | `62000`    | `4 (2 dual GPUs)` |
+    | `gpu2`**           | `taurusi[2045-2103]`                     | `59`    | `24`            | `2583`       | `62000`    | `4 (2 dual GPUs)` |
     | `hpdlf`            | `taurusa[3-16]`                          | `14`    | `12`            | `7916`       | `95000`    | `3`               |
-    | `ml`               | `taurusml[1-32]`                         | `32`    | `44 (HT: 176)`  | `1443*`      | `254000`   | `6`               |
-    | `romeo`            | `taurusi[7001-7192]`                     | `192`   | `128 (HT: 256)` | `1972*`      | `505000`   | `-`               |
-    | `julia`            | `taurussmp8`                             | `1`     | `896`           | `27343*`     | `49000000` | `-`               |
+    | `ml`**             | `taurusml[1-32]`                         | `32`    | `44 (HT: 176)`  | `1443*`      | `254000`   | `6`               |
+    | `romeo`**          | `taurusi[7001-7192]`                     | `192`   | `128 (HT: 256)` | `1972*`      | `505000`   | `-`               |
+    | `julia`            | `taurussmp8`                             | `1`     | `896`           | `27343`     | `49000000` | `-`               |
+    | `alpha`**          | `taurusi[8001-8034]`                     | `34`    | `48 (HT: 96)`   | `10312*`     | `990000`   | `8`               |
 
 !!! note
 
-    The ML nodes have 4way-SMT, so for every physical core allocated (,e.g., with
-    `SLURM_HINT=nomultithread`), you will always get 4*1443 MB because the memory of the other
-    threads is allocated implicitly, too.
+    Some nodes have multithreading (SMT) enabled, so for every physical core allocated
+    (e.g., with `SLURM_HINT=nomultithread`), you will always get `MB per Core`*`number of threads`,
+    because the memory of the other threads is allocated implicitly, too.
+    Those nodes are marked with an asterisk.
+    Some of the partitions, denoted with a double asterisk, have a counterpart for interactive
+    jobs. These partitions have a `-interactive` suffix (e.g. `ml-interactive`) and have the same
+    configuration.
+    There is also a meta partition `haswell`, which contain partition `haswell64`, `haswell128`, `haswell256` and `smp2`and this is also the default partition.
+    If you specify no partition or partition `haswell` a Slurm plugin will choose the partition which fits to your memory requirements.
+    There are some other partitions, which are not specified in the table above, but those partitions should not be used directly.