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--- en:lmgpu-info [2023-07-19 13:50] – Thomas Thiel
+++ en:lmgpu-info [2024-11-29 14:00] (current) – [Shared Storage] Anna Gierlach
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 ====== The Lamarr GPU Cluster ======
-We are building and expanding a GPU Cluster as part of the [[https://lamarr-institute.org/|Lamarr Institute]]. At the moment, the cluster consists of seven nodes with the following basic configuration:
+We are building and expanding a GPU Cluster as part of the [[https://lamarr-institute.org/|Lamarr Institute]]. At the moment, the cluster consists of nine nodes with the following basic configuration:
-AMD Epyc 7713 (64 Cores)\\
+ AMD Epyc 7713 Processors (64 Cores * 2 Threads each => 256 Cores per Node, 248 available for jobs)\\
 TB System-RAM\\
+TB local SSD storage\\
 x A100 SXM4 HGX w/each 80GB GPU-Memory, NVLink (600GB/s) connected\\
 GbE Network\\
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 selective groups of users via standard Posix file permissions/user
 groups.
+All nodes have 28TB local SSD storage available, mounted under /data.
+Please remove your data from there after you are finished with your
+calculations.
 The workload management software/scheduler is SLURM. Please refer to
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 container backend for SLURM. If you need a personalized library or OS
 setup around your software, containers will be your way of choice.
+As a general rule, realistic resource allocation for your jobs is **mandatory**. You are only allowed to request the resources from the workload manager that you are actually needing to complete your calculations. Wasting precious machine time and making other users wait in line needlessly will lead to revocation of access to the cluster.
 ===== SLURM partitions =====
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 ===== Shared Storage  =====
-If you want to share bigger datasets with other users on the cluster you can request shared storage on the cluster. It will be located under /home/Shared/. Please specify the usernames of all users that should be able to access this data in your [[gsg+lmgpu@informatik.uni-bonn.de|email]].
+If you want to share bigger datasets with other users on the cluster you can request shared storage on the cluster. It will be located under /home/Shared/. Please specify the usernames of all users that should be able to access this data (and any other hepful information for us regarding your request) in an [[gsg+lmgpu@informatik.uni-bonn.de|informal request email]]. We will then create a user group for the specified users, create the directory and set the necessary permissions for you.
+===== Requesting GPUs =====
+If you want to allocate a certain number of GPUs for your job, use the parameter '--gres=gpu:COUNT' in your srun/squeue calls, where COUNT is the requested number of GPUs for your job.
+===== Email Notifications =====
+If you want to receive email notifications about the status of your jobs, you can specify a recipient email address at job submission, i.e.:
+sbatch --mail-type=ALL --mail-user=someuser@somedomain.com ...
+**Please specify a full (with domain!) and valid email address here.**
+===== A Note about Interactive Jobs =====
+Please remember that interactive jobs often leave things unnecessarily idle (especially if forgotten and/or unterminated), so please think about your impatient colleagues in the queue behind you and try to avoid interactive jobs whenever possible.
 ===== Exchange with other users =====
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 #lmgpu-tech:matrix.informatik.uni-bonn.de