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en:lmgpu-info [2023-10-24 15:02] – Thomas Thielen:lmgpu-info [2024-11-29 14:00] (current) – [Shared Storage] Anna Gierlach
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 ====== The Lamarr GPU Cluster ====== ====== 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:
  
-2 AMD Epyc 7713 Processors (64 Cores/2 Threads each)\\+2 AMD Epyc 7713 Processors (64 Cores * 2 Threads each => 256 Cores per Node, 248 available for jobs)\\
 2TB System-RAM\\ 2TB System-RAM\\
 28TB local SSD storage\\ 28TB local SSD storage\\
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 ===== Shared Storage  ===== ===== 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 (and any other hepful informations for us regarding your reequest) 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 up for you.+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 ===== ===== 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. 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 ===== ===== A Note about Interactive Jobs =====
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 #lmgpu-tech:matrix.informatik.uni-bonn.de #lmgpu-tech:matrix.informatik.uni-bonn.de
 +