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General information for all Lise partitions you can find for the topics
- login via ssh on QuickstartUsage Guide,
- file systems on QuickstartUsage Guide, and
- general slurm properties on Slurm usage.
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Login authentication is possible via SSH keys only. Please visit Quickstart Usage Guide.
| Generic login name | List of login nodes |
|---|---|
| bgnlogin.nhr.zib.de | bgnlogin1.nhr.zib.de bgnlogin2.nhr.zib.de |
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- Login and compute nodes of the A100 GPU partition are running under Rocky Linux (currently version 8.6).
- Software for the A100 GPU partition provided by NHR@ZIB can be found using the module command, see QuickstartUsage Guide.
- Please note the presence of the sw.a100 environment module. It controls the software selection for the GPU A100 partition.
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| Codeblock | ||||
|---|---|---|---|---|
| ||||
#!/bin/bash
#SBATCH --partition=gpu-a100
#SBATCH --nodes=2
#SBATCH --ntasks=8
#SBATCH --gres=gpu:4
module load openmpi/gcc.11/4.1.4
mpirun ./mycode.bin
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Container
Apptainer is provided as a module and can be used to download, build and run e.g. Nvidia containers:
| Codeblock | ||||
|---|---|---|---|---|
| ||||
bgnlogin1 ~ $ module load apptainer Module for Apptainer 1.1.6 loaded. #pulling a tensorflow image from nvcr.io - needs to be compatible to local driver bgnlogin1 ~ $ apptainer pull tensorflow-22.01-tf2-py3.sif docker://nvcr.io/nvidia/tensorflow:22.01-tf2-py3 ... #example: single node run calling python from the container in interactive job using 4 GPUs bgnlogin1 ~ $ srun -pgpu-a100 --gres=gpu:4 --nodes=1 --pty --interactive --preserve-env ${SHELL} ... bgn1003 ~ $ apptainer run --nv tensorflow-22.01-tf2-py3.sif python ... Python 3.8.10 (default, Nov 26 2021, 20:14:08) [GCC 9.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf >>> tf.config.list_physical_devices("GPU") [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:1', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:2', device_type='GPU'), PhysicalDevice(name='/physical_device:GPU:3', device_type='GPU')] #optional: cleanup apptainer cache bgnlogin1 ~ $ apptainer cache list ... bgnlogin1 ~ $ apptainer cache clean |