From 81ad4da2100caf03f2b9369d59c22b512867a21b Mon Sep 17 00:00:00 2001
From: Martin Schroschk <martin.schroschk@tu-dresden.de>
Date: Fri, 5 Apr 2024 13:54:35 +0200
Subject: [PATCH] Highlight module names

---
 doc.zih.tu-dresden.de/docs/software/gpu_programming.md | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/doc.zih.tu-dresden.de/docs/software/gpu_programming.md b/doc.zih.tu-dresden.de/docs/software/gpu_programming.md
index 1b4b34e9c..bcb6b3e9e 100644
--- a/doc.zih.tu-dresden.de/docs/software/gpu_programming.md
+++ b/doc.zih.tu-dresden.de/docs/software/gpu_programming.md
@@ -12,17 +12,16 @@ E.g. the available CUDA versions can be listed with
 marie@compute$ module spider CUDA
 ```
 
-Note that some modules use a specific CUDA version which is visible in the module name.
-E.g. `GDRCopy/2.1-CUDA-11.1.1` or `Horovod/0.28.1-CUDA-11.7.0-TensorFlow-2.11.0`.
+Note that some modules use a specific CUDA version which is visible in the module name, e.g. `GDRCopy/2.1-CUDA-11.1.1` or `Horovod/0.28.1-CUDA-11.7.0-TensorFlow-2.11.0`.
 
-This especially applies to the optimized CUDA libraries like cuDNN, NCCL and magma.
+This especially applies to the optimized CUDA libraries like `cuDNN`, `NCCL` and `magma`.
 
 !!! important "CUDA-aware MPI"
 
     When running CUDA applications using MPI for interprocess communication you need to additionally load the modules
     that enable CUDA-aware MPI which may provide improved performance.
     Those are `UCX-CUDA` and `UCC-CUDA` which supplement the `UCX` and `UCC` modules respectively.
-    Some modules, like NCCL`, load those automatically.
+    Some modules, like `NCCL`, load those automatically.
 
 ## Using GPUs with Slurm
 
-- 
GitLab