diff --git a/src/single-job-multi-mig/README.md b/src/single-job-multi-mig/README.md
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+<!-- TOC --><a name="README"></a>
+# Single Job With Multiple MIG Devices - SAME NODE
+# README
+
+Adapted to Speed from: https://wiki.orc.gmu.edu/mkdocs/slurm_with_multiple_mig_devices/
+
+This document only shows how to run multiple independent CUDA processes in a single slurm job. Distributed training with pytorch, tensorflow or any other common ML/DL framework is not currently possible using MIG devices
+
+* We will use 2 MIGs:
+
+        --gres=gpu:nvidia_a100_2g.20gb:2
+
+* We will execute the program `gpu_burn` twice in the background (`./gpu_burn -d 60 &`), one for each MIG.
+* The job will be executed until the processes in the background finish. (`# wait for all pids` section)
+
+<!-- TOC end -->
\ No newline at end of file
diff --git a/src/single-job-multi-mig/example-bash.sh b/src/single-job-multi-mig/example-bash.sh
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+#!/encs/bin/bash
+
+#SBATCH --job-name=multi-mig-test
+#SBATCH --output=%j-%N-out.txt
+#SBATCH --error=%j-%N-err.txt
+#SBATCH --partition=pt
+#SBATCH --ntasks=9
+#SBATCH --mail-type=all
+##SBATCH --mem-per-cpu=4G
+#SBATCH --gres=gpu:nvidia_a100_2g.20gb:2
+
+# module load python/3.9.9-jh
+. /encs/pkg/modules-3.2.10/root/Modules/3.2.10/init/bash
+
+cd /speed-scratch/carlos/gputest/gpu-burn
+j=0
+for i in $(echo $CUDA_VISIBLE_DEVICES | tr ',' ' '); do
+    OMP_NUM_THREADS=4 CUDA_VISIBLE_DEVICES=${i} ./gpu_burn -d 60 &
+    pids[${j}]=$!
+    j=$((j+1))
+done
+
+sleep 20
+nvidia-smi
+
+# wait for all pids
+for pid in ${pids[*]}; do
+    wait $pid
+done
diff --git a/src/single-job-multi-mig/example-tcsh.sh b/src/single-job-multi-mig/example-tcsh.sh
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+#!/encs/bin/tcsh
+
+#SBATCH --job-name=multi-mig-test
+#SBATCH --output=%j-%N-out.txt
+#SBATCH --error=%j-%N-err.txt
+#SBATCH --partition=pt
+#SBATCH --ntasks=9
+#SBATCH --mail-type=all
+##SBATCH --mem-per-cpu=4G
+#SBATCH --gres=gpu:nvidia_a100_2g.20gb:2
+
+cd /speed-scratch/carlos/gputest/gpu-burn
+set pids = ()
+foreach i ( `echo $CUDA_VISIBLE_DEVICES | tr ',' ' '` )
+    setenv OMP_NUM_THREADS 4
+    setenv CUDA_VISIBLE_DEVICES $i
+    ./gpu_burn -d 60 &
+    set pids = ( $pids $! )
+end
+
+sleep 20
+nvidia-smi
+
+# wait for all pids
+set all_done = 0  
+while (! $all_done)  
+    set all_done = 1  
+    foreach pid ($pids)
+        if ( -e /proc/$pid ) then  
+            set all_done = 0  
+        endif
+    end
+    sleep 1
+end