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realamirhe avatar realamirhe commented on July 22, 2024

Note that using clip and numpy methods in-place doesn't reduce the run time so much
in some case it is make it worse, cause the per call time has tiny effect

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realamirhe avatar realamirhe commented on July 22, 2024

parallelization technique in the simulate_iteration doesn't gain much performance

num_cores = multiprocessing.cpu_count()

def iteration_parallel(net_obj, timestep):
    net_obj.iteration = self.iteration
    net_obj.behaviour[timestep].new_iteration(net_obj)

with Parallel(n_jobs=num_cores) as parallel:
    for timestep in self.behaviour_timesteps:
        parallel(
            delayed(iteration_parallel)(net_obj, timestep)
            for net_obj in self.all_objects()
            if (
                timestep in net_obj.behaviour
                and net_obj.behaviour[timestep].behaviour_enabled
            )
        )

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