Parallel Processing in RMG-Py

[rwest]

All the computers we will be running RMG on from now on have several cores, and many of them are even clusters. It would be nice to run code on all of them at once to reduce the wall-time of our calculations.
This issue is to keep a record of work towards parallelizing [parts of] RMG-Py.

[rwest]

My first attempt was to parallelize the "react_entire_core_with_new_species" that happens when a species is added to the core. i.e. the old code from model.py
for coreSpecies in self.core.species:
if coreSpecies.reactive:
rxnList.extend(reaction.kineticsDatabase.getReactions([newSpecies, coreSpecies]))
This loop was expanded into separate tasks running on a pool of processes.
This led up to 7910541.
The problem is that each process that is creating new reactions, uses the same reaction numbers, as it doesn't know about reactions made by the other processes.

[github-actions]

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