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I followed this tutorial in order to import a coupler. However, the width of my window is much wider than the tutorial, which makes the simulation last very long. (Even by exploiting the symmetries of the system) As I have a lot simulations to do, do you have any tips to speed it up ?
For information, I use vscode with WSL1. I've read that WSL takes as much RAM as possible by default, but I don't seem to have that on my computer. Do you know how to allocate more memory to WSL1?
Otherwise, would it be much faster directly with a linux distribution?
Thank you for your help!
The text was updated successfully, but these errors were encountered:
decimation of the DFT time series updates used by the mode monitors
cache-oblivious loop tiling for the step-curl field updates (executed at every timestep by all voxels)
improved chunk-to-chunk communication
Separately, we are working on a number of other performance-related enhancements: (1) improving the load balancing of parallel simulations through better cell partitioning using the split_chunks_evenly=False flag of the Simulation object and (2) using multi-threading for the time stepping (#1627). Stay tuned for more details.
Hi,
I followed this tutorial in order to import a coupler. However, the width of my window is much wider than the tutorial, which makes the simulation last very long. (Even by exploiting the symmetries of the system) As I have a lot simulations to do, do you have any tips to speed it up ?
For information, I use vscode with WSL1. I've read that WSL takes as much RAM as possible by default, but I don't seem to have that on my computer. Do you know how to allocate more memory to WSL1?
Otherwise, would it be much faster directly with a linux distribution?
Thank you for your help!
The text was updated successfully, but these errors were encountered: