Difference between revisions of "GPUs Basel 2019"
(Created page with "Here we describe how to use the GPUs provided for the Basel Workshop 2018. We go through each step and use a simple tutorial dataset and project as an example. You can use the...")
Revision as of 11:52, 26 August 2019
Here we describe how to use the GPUs provided for the Basel Workshop 2018. We go through each step and use a simple tutorial dataset and project as an example. You can use the same steps described here on your own project.
The GPUs we use are located on the high performance computing cluster of the University of Basel called sciCORE (https://scicore.unibas.ch) which uses the SLURM queuing system. A queuing system coordinates the access to the GPUs and is needed when there are many users using a limited amount of GPUs. You should have received the credentials needed to log in on the cluster at the beginning of the workshop.
The main idea is to create an alignment project on your local machine, move it to the sciCORE cluster and then run it using a pre-installed Dynamo standalone version on sciCORE. How this is done is described in the following steps.
On your local Matlab session with Dynamo loaded:
- Create a tutorial project with Dynamo:
dtutorial myParticles -p myProject -M 128
We now have a tutorial dataset with 128 particles in the directory
myParticles and a tutorial alignment project
- Open the alignment project window:
and under computing environment select GPU (standalone) as an environment.
- Check and unfold the project.
- Before moving the data to sciCORE we have to compress the project. In the project window go to Tools and then create a tarball.
On your local Linux terminal:
- Open a local Linux terminal and navigate to the directory where you just created the tutorial dataset and project. Copy the project data (particles) to sciCORE:
rsync -avuP myParticles USERNAME@login.scicore.unibas.ch:/scicore/home/s-gpu-course/USERNAME/dynamo_projects
- Copy the previously created tar file of the project to sciCORE:
rsync -avuP myProject.tar USERNAME@login.scicore.unibas.ch:/scicore/home/s-gpu-course/USERNAME/dynamo_projects
- Login to your sciCORE account:
ssh -Y USERNAME@login.scicore.unibas.ch
If asked to continue type "yes". Use the provided password.
While logged in to your sciCORE account:
- While logged in to your sciCORE account, activate dynamo:
- Go to the location where you copied the data:
- Untar the Dynamo project:
dynamo dvuntar myProject.tar exit
- Create a blank SLURM submission script (text file) named submit_job.sh:
- Copy (and adapt) the following lines into the newly created script. Depending on your project you might have to adapt the project name and the time requested (time=hh:mm:ss) in the script. If your job will run longer than 30 minutes, set the qos to 6hours and adapt the time to anything between 30 minutes and 6 hours:
#!/bin/bash -l # #SBATCH --job-name=dTest #SBATCH --qos=30min #SBATCH --time=00:30:00 #SBATCH --mem=16G #SBATCH --nodes=1 #SBATCH --ntasks-per-node=1 #SBATCH --cpus-per-task=1 #SBATCH --partition=pascal #SBATCH --gres=gpu:1 #SBATCH --reservation=dynamo module load CUDA/7.5.18 source /scicore/home/s-gpu-course/GROUP/dynamo_activate_linux_shipped_MCR.sh cd $HOME/dynamo_projects echo "dvput myProject -gpu_identifier_set $CUDA_VISIBLE_DEVICES" > dcommands.sh echo "dvunfold myProject" >> dcommands.sh dynamo dcommands.sh chmod u=rxw ./myProject.exe ./myProject.exe
- You can now run your alignment project by submitting the previously created script to SLURM with:
- With the following commands you can check the overall status of the submitted jobs:
Check your status in the queue:
squeue -u USERNAME
See all users in the queue:
squeue -q 30min
To cancel the job type scancel followed by the job ID that was shown by the squeue command:
Some ways to check the last output:
ls -rtl tail -f slurm-45994509.out less slurm-45994509.out
To check the last average load the standalone Dynamo environment by typing
dynamo into the terminal and use the usual commands, e.g.:
ddb myProject:a -v