rephrased for comprehensability

Resolves #413 (closed)

doc.zih.tu-dresden.de/docs/application/request_for_resources.md

 # Request for Resources
 
-Important note: ZIH systems are based on the Linux system. Thus for the effective work, you should
-have to know how to work with Linux based systems and Linux Shell. Beginners can find a lot of
-different tutorials on the internet, for example.
+Important note: ZIH systems run Linux. Thus, for effective work, you should know your way around
+Linux based systems and the Bash Shell. Beginners can find a lot of tutorials on the internet.
 
 ## Determine the Required CPU and GPU Hours
 
-ZIH systems are focused on data-intensive computing. The cluster is oriented on the work with the
-high parallel code. Please keep it in mind for the transfer sequential code from a local machine.
-So far you will have execution time for the sequential program it is reasonable to use
-[Amdahl's law][1] to roughly predict execution time in parallel. Think in advance about the
-parallelization strategy for your project.
+ZIH systems are focused on data-intensive computing. They are meant to be used for highly
+parallelized code. Please take that into account when migrating sequential code from a local
+machine to our HPC systems. To estimate your execution time when executing your previously sequential program
+in parallel, you can use [Amdahl's law][1]. Think in advance about the parallelization strategy for
+your project and how to effectively use HPC resources.
 
 ## Available Software
 
-The good practice for the HPC clusters is to use software and packages where parallelization is
-possible. The open-source software is more preferable than proprietary. However, the majority of
-popular programming languages, scientific applications, software, packages available or could be
-installed on the HPC cluster in different ways. First of all, check the [Software module list][2].
-There are [two different software environments](../software/modules.md): `scs5` (the regular one)
-and `ml` (environment for the Machine Learning partition). Keep in mind that ZIH systems have a
-Linux based operating system.
+It is good practice for working on HPC clusters to use software and packages built with support for parallelization
+wherever possible. Open-source software is generally preferable to proprietary software. You can check
+for already installed software at the [Software module list][2]. However, the majority of popular
+programming languages, scientific applications, software and packages can be installed on the HPC
+cluster using different dependencies. There are
+[two different software environments](../software/modules.md) implementing these varying
+dependencies: `scs5` (the regular one) and `ml` (environment for the Machine Learning partition).
+When looking for your software, keep in mind that it needs to work on Linux.
 
 [1]: https://en.wikipedia.org/wiki/Amdahl%27s_law
 [2]: https://gauss-allianz.de/de/application?organizations%5B0%5D=1200