How to Increase VRAM Using Shared GPU Memory about fluidx3d

[ProjectPhysX]

Hi @wjsjtu123,

the "shared GPU memory" is actually just half of the CPU memory. Even if it were possible, using this does not make sense - it would slow down the simulation by ~100x.

FluidX3D plows over the entire VRAM in every time step, so the faster the VRAM bandwidth the better. The CPU memory is way slower in bandwidth, and on top all the data would have to move over the (comparativley) super slow PCIe connection then.

In this case it's better to run FluidX3D entirely on the CPU. For this you need to install the Intel OpenCL CPU Runtime. Still way slower than GPU compute, but faster than copying everything over PCIe.

Kind regards,
Moritz

[wjsjtu123]

Once installed, how do I use it?

[ProjectPhysX]

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