Remove distributed processing instructions from documentation

Removed sections on distributed processing for clarity.

Author: BTV25

docs/src/How_to.md

@@ -10,51 +10,5 @@ export JULIA_NUM_THREADS=<number of threads>
 For enabling multi-threading on other shells/systems please see the julia parallel-computing
 docs here: https://docs.julialang.org/en/v1/manual/parallel-computing/.
 
-## Distributed Processing
-Distributed parallel processing is available for the calculation of annual energy production (AEP). 
-
-You may have to add `using Distributed` to your julia script and use the `@everywhere` macro 
-in front of any functions you define that all processors will need access to. For an example, 
-see `example_opt_6_38turb_round_distributed.jl`.
-
-### Using Distributed Processing without an HPC Cluster Manager (e.g. on your local system)
-
-Distributed parallel processing can be enabled as follows when launching a julia session:
-
-```
-julia -p <number of processors>
-```
-
-### Using Distributed Processing with an HPC Cluster Manager (e.g. SLURM)
-
-The `-p` option to the julia call is unnecessary when running with a cluster manager. 
-To work with cluster managers, add the following to your julia script (this example is for 
-SLURM, but other managers are available as well):
-
-```
-using Distributed
-using ClusterManagers
-
-addprocs(SlurmManager(parse(Int, ENV["SLURM_NTASKS"])-1))
-@everywhere import FLOWFarm; const ff = FLOWFarm
-```
-
-Also include the `@everywhere` macro in front of any function definitions or include statements
-in your julia script that all processors will need access to.
-
-Your SLURM job script should look something like this:
-
-```
-#!/bin/bash -l
-#SBATCH --ntasks=100
-#SBATCH --mem-per-cpu=1024M   # memory per CPU core
-#SBATCH --time=01:00:00 # time=HH:MM:SS
-#SBATCH -J "Your job name here"   # job name
-
-module load julia
-
-julia julia_script.jl
-```
-
 **References**
 For more information on using julia in a distributed environment, please see https://docs.julialang.org/en/v1/manual/parallel-computing/.