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--- slurm [2022/09/02 14:56]
vodrazka [Batch mode]
+++ slurm [2022/09/13 10:01]
vodrazka [ÚFAL Grid Engine (LRC)]
@@ Line 1: / Line 1: @@
 ====== ÚFAL Grid Engine (LRC) ======
-LRC (Linguistic Research Cluster) is a name of ÚFAL's computational grid/cluster.
+LRC (Linguistic Research Cluster) is the name of ÚFAL's computational grid/cluster. The cluster is built on top of [[https://slurm.schedmd.com/|SLURM]] and is using [[https://www.lustre.org/|Lustre]] for [[internal:linux-network#directory-structure|data storage]].
+Currently there are following partitions (queues) available for computing:
+| **Partition name** | **Nodes**  | **Note** |
+| cpu-troja      | 7x CPU | default partition |
+| gpu-troja      | 6x GPU | features: gpuram48G,gpuram40G |
+| cpu-ms         | 7x GPU | features: gpuram48G,gpuram24G |
+In order to submit a job you need to login to one of the head nodes:
+   lrc1.ufal.hide.ms.mff.cuni.cz
+   lrc2.ufal.hide.ms.mff.cuni.cz
 ===== Basic usage =====
@@ Line 17: / Line 28: @@
 #!/bin/bash
 #SBATCH -J helloWorld					  # name of job
-#SBATCH -p cpu-troja					  # name of partition or queue
+#SBATCH -p cpu-troja					  # name of partition or queue (if not specified default partition is used)
 #SBATCH -o helloWorld.out				  # name of output file for this submission script
 #SBATCH -e helloWorld.err				  # name of error file for this submission script
@@ Line 37: / Line 48: @@
 #SBATCH --mem=10G                             # request 10 gigabytes memory (per node, default depends on node)
 </code>
+If you need you can have slurm report to you:
+<code>
+#SBATCH --mail-type=begin        # send email when job begins
+#SBATCH --mail-type=end          # send email when job ends
+#SBATCH --mail-type=fail         # send email if job fails
+#SBATCH --mail-user=<YourUFALEmailAccount>
+</code>
+As usuall the complete set of options can be found by typing:
+<code>
+man sbatch
+</code>
+==== Running jobs ====
+In order to inspect all running jobs on the cluster use:
+<code>
+squeue
+</code>
+filter only jobs of user ''linguist'':
+<code>
+squeue -u linguist
+</code>
+filter only jobs on partition ''gpu-ms'':
+<code>
+squeue -p gpu-ms
+</code>
+filter jobs in specific state (see ''man squeue'' for list of valid job states):
+<code>
+squeue -t RUNNING
+</code>
+filter jobs running on a specific node:
+<code>
+squeue -w dll-3gpu1
+</code>
+==== Cluster info ====
+The command ''sinfo'' can give you useful information about nodes available in the cluster. Here is a short list of some examples:
+List available partitions(queues). The default partition is marked with ''*'':
+<code>
+sinfo
+</code>
+List detailed info about nodes:
+<code>
+sinfo -l -N
+</code>
+List nodes with some custom format info:
+<code>
+sinfo -N -o "%N %P %.11T %.15f"
+</code>
 ==== Interactive mode ====
@@ Line 49: / Line 129: @@
 <code>srun -p cpu-troja --mem=64G --pty bash</code>
-Where:
+  * ''-p cpu-troja'' explicitly requires partition ''cpu-troja''. If not specified slurm will use default partition.
-  * ''-p cpu-troja'' explicitly requires partition ''cpu-troja''
   * ''--mem=64G'' requires 64G of memory for the job
+<code>srun -p gpu-troja,gpu-ms --nodelist=tdll-3gpu1 --mem=64G --gres=gpu:2 --pty bash</code>
+  * ''-p gpu-troja,gpu-ms'' require only nodes from these two partitions
+  * ''--nodelist=tdll-3gpu1'' explicitly requires one specific node
+  * ''--gres=gpu:2'' requires 2 GPUs
+<code>srun -p gpu-troja --constraint="gpuram44G|gpuram39G" --mem=64G --gres=gpu:2 --pty bash</code>
+  * ''--constraint="gpuram44G|gpuram39G"'' only consider nodes that have either ''gpuram44G'' or ''gpuram39G'' feature defined
 To see all the available options type:

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