Comments (1)
Hi @h3mosphere,
you can do this quite easily: once you have copied the data from VRAM to RAM with read_from_device()
, you can spawn a new detached thread on the CPU side and immediately continue the simulation on GPU.
This detached thread then can take its time to do the memory copy and do other processing on the data. You only have to wait for it to finish the memory copy (use std::atomic_int
variables here) before the next read_from_device()
call happens and overwrites the original CPU data.
This is very similar to how I'm already doing the .png
image export: here the read_from_device()
+ one CPU copy happen sequentially (the pause is really short, as the data is only a few MB), and then I spawn a detached thread for .png
compression, which takes much longer. If you export a lot of 4K images in rapid succession, you'll notice CPU load going to 100%, when all cores are busy doing .png
compression, each on one image.
Kind regards,
Moritz
from fluidx3d.
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from fluidx3d.