diff --git a/doc.zih.tu-dresden.de/docs/software/GPUProgramming.md b/doc.zih.tu-dresden.de/docs/software/GPUProgramming.md
index 9b772973052556d7869004c260c82025e2571b62..9847cc9dbfec4137eada70dbc23285c7825effc7 100644
--- a/doc.zih.tu-dresden.de/docs/software/GPUProgramming.md
+++ b/doc.zih.tu-dresden.de/docs/software/GPUProgramming.md
@@ -2,23 +2,20 @@
 
 ## Directive Based GPU Programming
 
-Directives are special compiler commands in your C/C++ or Fortran source
-code. The tell the compiler how to parallelize and offload work to a
-GPU. This section explains how to use this technique.
+Directives are special compiler commands in your C/C++ or Fortran source code. The tell the compiler
+how to parallelize and offload work to a GPU. This section explains how to use this technique.
 
 ### OpenACC
 
-[OpenACC](http://www.openacc-standard.org) is a
-directive based GPU programming model. It currently only supports NVIDIA
-GPUs as a target.
+[OpenACC](http://www.openacc-standard.org) is a directive based GPU programming model. It currently
+only supports NVIDIA GPUs as a target.
 
-Please use the following information as a start on OpenACC:  
+Please use the following information as a start on OpenACC:
 
 Introduction
 
-OpenACC can be used with the PGI and CAPS compilers. For PGI please be
-sure to load version 13.4 or newer for full support for the NVIDIA Tesla
-K20x GPUs at ZIH.
+OpenACC can be used with the PGI and CAPS compilers. For PGI please be sure to load version 13.4 or
+newer for full support for the NVIDIA Tesla K20x GPUs at ZIH.
 
 #### Using OpenACC with PGI compilers
 
@@ -35,10 +32,10 @@ HMPP is available from the CAPS compilers.
 
 ### CUDA
 
-Native [CUDA](http://www.nvidia.com/cuda) programs can sometimes offer a better performance. Please use the following slides as an introduction:
+Native [CUDA](http://www.nvidia.com/cuda) programs can sometimes offer a better performance. Please
+use the following slides as an introduction:
 
 * Introduction to CUDA;
 * Advanced Tuning for NVIDIA Kepler GPUs.
 
-In order to compiler an application with CUDA use the `nvcc` compiler
-command
+In order to compiler an application with CUDA use the `nvcc` compiler command.