home.md

@@ -1029,6 +1029,8 @@ You can see from the output that we have **3 GPU's: Cuda devices: 0,1,2**
 
 #### Compiling and running GPU programs
 
+First download and compile the samples from NVidia:
+
 ```
 module purge
 module add library/cuda/10.1/gcc.8.3.1
@@ -1037,7 +1039,11 @@ cd
 git clone https://github.com/NVIDIA/cuda-samples.git
 cd cuda-samples/Samples/UnifiedMemoryPerf/
 make
+```
+
+Create a slurm batch script:
 
+```
 cat gpu-test.slurm
 #!/bin/bash
 #
@@ -1053,8 +1059,13 @@ module add library/cuda/10.2/gcc.8.3.1
 hostname
 echo "Cuda devices: $CUDA_VISIBLE_DEVICES"
 $HOME/cuda-samples/Samples/UnifiedMemoryPerf/UnifiedMemoryPerf
+```
+* sbatch gpu-test.slurm
 
+While running, ssh to the node (in this case res-hpc-gpu01) and run the command **nvidia-smi**.
+This will show that the "UnifiedMemoryPerf" program is running on a GPU.
 
+```
 [user@res-hpc-gpu01 GPU]$ nvidia-smi 
 Tue Apr 14 16:06:06 2020       
 +-----------------------------------------------------------------------------+
@@ -1079,8 +1090,11 @@ Tue Apr 14 16:06:06 2020
 |=============================================================================|
 |    1     29726      C   ...les/UnifiedMemoryPerf/UnifiedMemoryPerf   145MiB |
 +-----------------------------------------------------------------------------+
+```
 
+Output:
 
+```
 cat slurm-206625.out 
 res-hpc-gpu01.researchlumc.nl
 Cuda devices: 0