How To Multiprocess For Loops In Python Where Each Calculation Is Independent?

I'm trying to learn something a little new in each mini-project I do. I've made a Game of Life( https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life ) program. This involves a nu

Solution 1:

I want to use multiprocessing (which I've identified should work, unlike multithreading?)

Multithreading would not work because it would run on a single processor which is your current bottleneck. Multithreading is for things where you are awaiting for an API to answer. In that meantime you can do other calculations. But in Conway's Game of Life your program is constantly running.

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Getting multiprocessing right is hard. If you have 4 processors you can define a quadrant for each of your processor. But you need to share the result between your processors. And with this you are getting a performance hit. They need to be synchronized/running on the same clock speed/have the same tick rate for updating and the result needs to be shared.

Multiprocessing starts being feasible when your grid is very big/there is a ton to calculate.
Since the question is very broad and complicated I cannot give you a better answer. There is a paper on getting parallel processing on Conway's Game of Life: http://www.shodor.org/media/content/petascale/materials/UPModules/GameOfLife/Life_Module_Document_pdf.pdf