Linting

doc.zih.tu-dresden.de/docs/jobs_and_resources/overview.md

@@ -15,6 +15,7 @@ The HPC system, redesigned in December 2023, consists of five homogeneous cluste
 components.
 
 ## Selection of Suitable Hardware
+
 The five clusters [`barnard`](barnard.md),
 [`alpha`](alpha_centauri.md),
 [`romeo`](romeo.md),
@@ -89,17 +90,19 @@ simulations and risk modeling. Use the cluster `power` only if you need GPUs! Ot
 using the x86-based partitions most likely would be more beneficial.
 
 ### Multithreading
-Some cluster/nodes have Simultaneous Multithreading (SMT) enabled, e.g [`alpha`](slurm.md) You request for this
-additional threads using the Slurm option `--hint=multithread` or by setting the environment
-variable `SLURM_HINT=multithread`. Besides the usage of the threads to speed up the computations,
-the memory of the other threads is allocated implicitly, too, and you will always get
+
+Some cluster/nodes have Simultaneous Multithreading (SMT) enabled, e.g [`alpha`](slurm.md) You
+request for this additional threads using the Slurm option `--hint=multithread` or by setting the
+environment variable `SLURM_HINT=multithread`. Besides the usage of the threads to speed up the
+computations, the memory of the other threads is allocated implicitly, too, and you will always get
 `Memory per Core`*`number of threads` as memory pledge.
 
 ### What do I need, a CPU or GPU?
 
 If an application is designed to run on GPUs this is normally announced unmistakable since the
 efforts of adapting an existing software to make use of a GPU can be overwhelming.
-And even if the software was listed in [NVIDIA's list of GPU-Accelerated Applications](https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/tesla-product-literature/gpu-applications-catalog.pdf)
+And even if the software was listed in
+[NVIDIA's list of GPU-Accelerated Applications](https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/tesla-product-literature/gpu-applications-catalog.pdf)
 only certain parts of the computations may run on the GPU.
 
 To answer the question: The easiest way is to compare a typical computation
@@ -116,6 +119,7 @@ by a significant factor then this might be the obvious choice.
     a single GPU's core can handle is small), GPUs are not as versatile as CPUs.
 
 ### How much time do I need?
+
 #### Runtime limits
 
 !!! warning "Runtime limits on login nodes"
@@ -172,6 +176,7 @@ However, this is highly depending on the used software, investigate if your appl
 parallel execution.
 
 ### How much memory do I need?
+
 #### Memory Limits
 
 !!! note "Memory limits are enforced."
@@ -193,6 +198,7 @@ Follow the page [Slurm](slurm.md) for comprehensive documentation using the batc
 ZIH systems. There is also a page with extensive set of [Slurm examples](slurm_examples.md).
 
 ### Which software is required?
+
 #### Available software
 
 Pre-installed software on our HPC systems is managed via [modules](../software/modules.md).