Indice

MATLAB Jobs

MATLAB serial job

Execution of a MATLAB serial program

cp -p /hpc/share/samples/matlab/pi_greco.m .

Script matlab.sh: 

#!/bin/sh
#SBATCH --job-name=matlab
#SBATCH --output=%x.o%j
#SBATCH --error=%x.e%j
#SBATCH --nodes=1
#SBATCH --tasks-per-node=1
#SBATCH --partition=vrt
#SBATCH --mem=8G
#SBATCH --time=00:30:00
#SBATCH --account=<accountname>
 
module load matlab/R2017a
 
matlab -nodisplay -r pi_greco

Submitting matlab.sh: 

sbatch matlab.sh

MATLAB parallel job

Parallel Computing with MATLAB

Execution of a parallel job with MATLAB

cp -p /hpc/share/samples/matlab/pi_greco_parallel.m .

Script matlab_parallel.sh: 

#!/bin/sh
#SBATCH --job-name=matlab_parallel
#SBATCH --output=%x.o%j
#SBATCH --error=%x.e%j
#SBATCH --nodes=1
#SBATCH --tasks-per-node=4
#SBATCH --partition=bdw
#SBATCH --mem=8G
#SBATCH --time=0-00:30:00
#SBATCH --account=<accountname>
 
module load matlab/R2017a
 
matlab -nodisplay -r pi_greco_parallel

Submitting matlab_parallel.sh: 

sbatch matlab_parallel.sh

MATLAB GPU job

Execution of a MATLAB program on GPU

In this example we see how to run the GPUBench MATLAB program on GPU. Requires the MATLAB Parallel Computing Toolbox and a GPU with CUDA Compute Capability.

Script slurm-matlab-gpu-bench.sh: 

#!/bin/sh
#SBATCH --job-name=GPUBench
#SBATCH --output=%x.o%j
#SBATCH --error=%x.e%j
#SBATCH --nodes=1
#SBATCH --tasks-per-node=1
#SBATCH --gres=gpu:tesla:1
#SBATCH --partition=gpu
#SBATCH --mem=8G
#SBATCH --time=0-00:30:00
#SBATCH --account=<accountname>
 
module load matlab/R2017a
 
cd 'GPUBench_v1.10'
 
matlab -nodisplay -nosplash -r "T=gpuBench;quit"

Submitting slurm-matlab-gpu-bench.sh: 

sbatch slurm-matlab-gpu-bench.sh

Execution of two MATLAB programs on the same GPU

In this example we see how to run two instances of the GPUBench MATLAB program on the same GPU. Requires the MATLAB Parallel Computing Toolbox and a GPU with CUDA Compute Capability.

Script slurm-matlab-multi-gpu-bench.sh: 

#!/bin/sh
#SBATCH --job-name=GPUBench
#SBATCH --output=%x.o%j
#SBATCH --error=%x.e%j
#SBATCH --nodes=1
#SBATCH --tasks-per-node=1
#SBATCH --gres=gpu:tesla:1
#SBATCH --partition=gpu
#SBATCH --mem=8G
#SBATCH --time=0-00:30:00
#SBATCH --account=<accountname>
 
module load matlab/R2017a
 
cd 'GPUBench_v1.10'
 
pids=""
 
for i in $(seq 0 1); do
  matlab -nodisplay -nosplash -r "T=gpuBench;quit" \
  1>"$SLURM_SUBMIT_DIR/${SLURM_JOB_NAME}.o${SLURM_JOB_ID}.${i}" \
  2>"$SLURM_SUBMIT_DIR/${SLURM_JOB_NAME}.e${SLURM_JOB_ID}.${i}" &
  pids="${pids:+$pids }$!"
done
 
echo "Waiting PID(s): $pids"
 
wait $pids

Submitting slurm-matlab-multi-gpu-bench.sh: 

sbatch slurm-matlab-multi-gpu-bench.sh