5 May
2020
5 May
'20
10 p.m.
Just to be clear, this is executing the **same** workload in parallel, **not** trying to parallelize factorial. E.g. the 8 CPU calculation is calculating 50,000! 8 separate times and not calculating 50,000! once by spreading the work across 8 CPUs. This measurement is still showing parallel work, but now I'm really curious to see the first calculation where you're measuring how much faster a calculation is thanks to sub-interpreters. :) I also realize this is not optimized in any way, so being this close to multiprocessing already is very encouraging!