This is an old revision of the document!
Language and Voice lab computing cluster
Smallvoice, uses Slurm workload manager to create a computing cluster
The Cluster has 6 nodes :
| Node name | Role(s) |
|---|---|
| atlas | management node, worker |
| freedom | login node, worker |
| hercules | worker node |
| samson | worker node |
| goliath | worker node |
| obelix | worker node |
When logged on to the cluster user is always on the login node, freedom and does all his work there
but home (& work) are the same “physical” disk on all nodes
To use slurm workload manager for your job, you first create a executable batch file with info about the job
and the run your job(submit) with sbatch myBatch.sh
Example batch file
#!/bin/bash
#SBATCH --account=staff
#SBATCH --job-name=MyJob
#SBATCH --gpus-per-node=1
#SBATCH --mem-per-cpu=2G
#SBATCH --output=myBatch.log
Create with : vi myBatch.sh + [save] + chmod +x myBatch.sh
but this example file is available from user home folder with cat myBatch.sh
Installed software and drivers
* NVIDIA A100 GPU drivers
* CuDA toolkit [version 11.7]
* Intel oneAPI Math Kernel Library
* Python 3.9.2
* pip 20.3.4