Build.md

@@ -7,33 +7,20 @@
 * If using NVLink (cuda), Omni-Path (psm2), UCX (ucp), or IBVerbs (ibverbs)
     * `minipmi`: https://github.com/kraused/minipmi
 * If using NVLink (cuda):
-    * A standard compliant CUDA compiller
+    * A standard compliant CUDA compiler
     * Python version 3.0.0 or a derivative
 * If using linktest-report tool
     * Python 3.8.5 or above
-    * numpy and matplotlib
+        * Including the NumPy and MatPlotLib packages
 
 # Build procedure
 In general you have to do the following steps
 1. Install Dependencies
 2. Set-Up Environment, Pahs etc.
 3. Install `linktest` with `make`, disable unavailable transport layers 
-4. Install `linktest-report` via pip (Update PYTHONPATH or use virtual environments)
+4. [Optional] Install `linktest-report` via pip (Update PYTHONPATH or use virtual environments)
 5. [Optional] Install `pingponganalysis` with `make`
 
-Quick-Start Example installing only MPI and TCP support. (Might not work on your system)
-```bash
-mkdir -p install
-ml GCC ParaStationMPI SIONlib SciPy-Stack             # 1 + 2
-cd benchmark;                                         # 
-make HAVE_MINIPMI=0 PREFIX=../install clean install   # 3
-python -m pip install ../python/setup.py --prefix=../install    # 4
-```
-
-exampleBuild.sh showcases a more complicated build procedure. You can adapt it to your needs. 
-A file named `pingpong_results_bin.sion` should be produced.  
-Some examples for JSC systems can also be found in chapter [JSC Build Examples](#JSC-Build-Examples)
-
 # Transport Layers
 Transport Layers can be (de-)activated with `make HAVE_<LAYER>=(0)1`  
 The following transport layers and other variables may be used:
@@ -50,6 +37,7 @@ The following transport layers and other variables may be used:
 |  | `CUARCH` |  | Needs to be set if `cuda` is enable |
 
 For `CUARCH` values see https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#virtual-architecture-feature-list
+
 # JSC Build Examples
 **JUWELS:**