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# Content
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- [Description of the cluster](#description-of-the-cluster)
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- [Node configuration](#node-configuration)
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- [Storage](#storage)
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- [Your home directory `/home/<username>`](#your-home-directory-homeusername)
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- [The `/data/<username>` directory](#the-datausername-directory)
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- [The /ssd/<username> directory](#the-ssdusername-directory)
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# Description of the cluster
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## Node configuration
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The configuration has a frontal node, named irma-atlas, and 4 compute nodes.
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Frontal node `irma-atlas`:
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* 64 cores on 4 sockets (AMD Opteron 6386 SE 2.8 Ghz),
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* 512 GB of RAM,
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* 2.4 TB of storage on SSD, (directory: /ssd)
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* 70 TB for data storage (10'000 rpm HDD), (directory: /data)
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* NFS mount to access laboratory data, (such as /home)
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Compute nodes `irma-atlas[1-4]` (x4):
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* 24 cores on 2 sockets (Intel Xeon E5-2680 v3 2.50GHz), hyperthreaded
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* 256 GB of RAM
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* 1 TB scratch dir (/scratch)
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* NFS mount to access frontal node data: /ssd and /data
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* NFS mount to access laboratory data, (such as /home)
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Since the 25th of novembre 2015, the `irma-atlas4` node has been equipped with 2 NVIDIA K80 GPGPU cards.
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Everything is interconnected with both 10Gb Ethernet cards and 40Gb Infiniband cards.
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The workload manager is [slurm](https://computing.llnl.gov/linux/slurm/).
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## Storage
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From every node, you have access to several storages.
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#### Your home directory `/home/<username>`
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This directory is meant only to store important files and have to be kept to a minimal size.
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#### The `/data/<username>` directory
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If this directory does not exist, you must create one, so you don't mix your files with other users. This partition has a size of 50 TB, so you can store big data, like simulation results, compilation-related files and libraries ...
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#### The /ssd/<username> directory
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If this directory does not exist, you must create one, so you don't mix your files with other users. This partition has a size of 2 TB and is put on SSDs for increased access speed. You can use it to store medium-sized data. |
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