Add parallelization to PopulationSim in order to significantly improve runtimes in the case of multiple seed geographies. The planned parallelization strategy is to use Python’s multiprocessing library to process each seed geography, which is typically a Census PUMA, using a separate processor.
Add parallelization to PopulationSim in order to significantly improve runtimes in the case of multiple seed geographies. The planned parallelization strategy is to use Python’s multiprocessing library to process each seed geography, which is typically a Census PUMA, using a separate processor.