From 02886cf021d6982c48c97c35b269e3302b75bba1 Mon Sep 17 00:00:00 2001
From: Stefan Kesselheim <s.kesselheim@fz-juelich.de>
Date: Fri, 18 Feb 2022 00:04:01 +0100
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 32dfaaf..c519c87 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ You will create a docker-based environment on your machine, that can be use to s
 a jupyter server. Then you transfer the docker image to the supercomputer and make it available 
 within Jupyter-JSC. Of course, this works without Jupyter, but is much less fun.
 
-In General, the usage of singularity containers on the HPC is highly recommended. If the containers from the NVIDIA container registry
+In General, the usage of singularity containers on HPC systems is recommended. If the containers from the NVIDIA container registry
 [link](https://catalog.ngc.nvidia.com/) are used, you can be quite sure that you are as fast as it gets.
 
 The workflow is compatible with windows as well as Linux and MacOS, however only if your host is of X86 architecture (new Macs might pose a problem).   
-- 
GitLab