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compute:step2

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What's next ?

Most users are using Python for their jobs
Setup your environment, Python virtual environment/Anaconda and install in you home folder the necessary libraries for your project

The slurm command script : sbatch script.sh

cmdDescription
#SBATCH --account=studentYour user belongs to this group
#SBATCH --job-name=MyJobname of my job
#SBATCH –ntasks=2Number of job tasks per worker
#SBATCH –mem=4GJob wants 4gb on memory
#SBATCH –time=0Time limit on my job e.g. time=11::00 (11 hours), 0 means nolimit
#SBATCH –partition=LokaverkRun job on this queue
#SBATCH --output=myBatch.logLog file for environment & slurm

When you job need GPU add this line to you slurm cmd file
#SBATCH --gpus-per-node=1

Other slurm directives

#SBATCH --mem-per-cpu=2G
#SBATCH --cpus-per-task=2 : 2 cores per process/task
#SBATCH --ntasks-per-node=4 : 4 procees per node(worker

Tools and libraries installed

CUDA toolkit version 11,7
Intel oneAPI Math Kernel Library
sox
libsndfile1-dev
ffmpeg
python3-venv
python3-pip

compute/step2.1682331190.txt.gz · Last modified: 2024/10/14 14:24 (external edit)