To improve memory usage in your simulations, try setting
"split_chunks_evenly=False" in the Simulation constructor which should
result in chunks that are better matched with the gold layers. You can
use the visualize_chunks
<https://meep.readthedocs.io/en/latest/Python_User_Interface/#data-visualization>
routine to compare the chunk layouts (equal vs. unequal). For details
regarding the chunks framework used for paralell/MPI simulations, see
Features/Parallel Meep
<https://meep.readthedocs.io/en/latest/Parallel_Meep/> as well as
Section 3 "Data-Driven Load Balancing" of https://arxiv.org/abs/2003.04287.
Finally, note that the memory management of the chunks for Lorentzian
susceptibility materials (i.e., gold) is currently suboptimal:
https://github.com/NanoComp/meep/issues/1084. More memory is being used
than is actually required by the simulation. We are hoping to fix this soon.
On 11/26/2020 4:22, Juan Ramón D wrote:
Is there any way I can reduce the RAM usage for such a simulation, to
get a higher resolution? Could it be because of a different reason?
I can only think of reducing the cell (PML layers) and using
non-dispersive models for the materials, but both methods compromise
the results of my simulation.
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