LRC (Linguistic Research Cluster) is a name of ÚFAL's computational grid/cluster.

The core idea is that you write a batch script containing the commands you wish to run as well as a list of SBATCH directives specifying the resources or parameters that you need for your job.
Then the script is submitted to the cluster with:

sbatch myJobScript.sh

Here is a simple working example:

#!/bin/bash
#SBATCH -J helloWorld					  # name of job
#SBATCH -p cpu-troja					  # name of partition or queue
#SBATCH -o helloWorld.out				  # name of output file for this submission script
#SBATCH -e helloWorld.err				  # name of error file for this submission script

# run my job (some executable)
sleep 5
echo "Hello I am running on cluster!"

After submitting this simple code you should end up with the two files (helloWorld.out and helloWorld.err) in the directory where you called the sbatch command.

Here is the list of other useful SBATCH directives ):

#SBATCH -N 2                                  # number of nodes (default 1)
#SBATCH --nodelist=node1,node2...             # required node, or comma separated list of required nodes
#SBATCH -c 4                                  # number of cores/threads per task (default 1)
#SBATCH --gres=gpu:1                          # number of GPUs to request (default 0)
#SBATCH --mem=10G                             # request 10 gigabytes memory (per node, default depends on node)

This mode can be useful for testing You should be using batch mode for any serious computation.
You can use srun command to get an interactive shell on an arbitrary node from the default partition (queue):

srun --pty bash

There are many more parameters available to use. For example:

srun -p cpu-troja --mem=64G --pty bash

Where:

• -p cpu-troja explicitly requires partition cpu-troja
• –mem=64G requires 64G of memory for the job

To see all the available options type:

man srun