From 607765178987ee78ce91dcebf1697a129434a022 Mon Sep 17 00:00:00 2001 From: Antreas Antoniou Date: Thu, 1 Feb 2018 14:25:53 +0000 Subject: [PATCH] Update gpu-cluster-quick-start.md --- notes/gpu-cluster-quick-start.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notes/gpu-cluster-quick-start.md b/notes/gpu-cluster-quick-start.md index d7aa7b2..0919e8b 100644 --- a/notes/gpu-cluster-quick-start.md +++ b/notes/gpu-cluster-quick-start.md @@ -72,7 +72,7 @@ export MLP_DATA_DIR=$HOME/mlpractical/data 13. This includes all of the required installations. Proceed to the next section outlining how to use the slurm cluster management software. Please remember to clean your setup files using ```conda clean -t``` -###Using Slurm +### Using Slurm Slurm provides us with some commands that can be used to submit, delete, view, explore current jobs, nodes and resources among others. To submit a job one needs to use ```sbatch script.sh``` which will automatically find available nodes and pass the job, resources and restrictions required. The script.sh is the bash script containing the job that we want to run. Since we will be using the NVIDIA CUDA and CUDNN libraries