Lighthouse – Flip Fluid Bender Simulation – Using Cuda w/Issues Found

Using Blender and FlipFluids Addon

This is still baking, so far 60Gb bake files and climbing at 334 out of 501 frames. Domain resolution used – 500 – ie High Quality.

Bake files grew from 55Mb [frame 1] to currently 277Mb [frame 333] !

Will update on the progress and final render.

and finally… after almost 2 days baking non stop…..

Below shows me trying to render one single frame and yet getting out of CUDA memory error.

I’m using a GTX1080 with 8Gb VRAM, on a i7 Quad core PC with 32Gb RAM

Switching to a CPU render and the results are below.

Time taken 1 hour for frame 348

Until l can find a quicker way to render each frame, by cuda which is usually faster especially since l have access to about 3000+ cuda cores collectively on my core workstation, l will give this project a rest for now.

update 9/28/2018

I tried command line blender rendering of frames 16, 348 with my 8gb gtx1080 / l  get the cuda error as the gpu ram used reached about 7gb out of the 8gb,

Currently rendering the first 200 frames as shown below.



Exploring Adobe CC

Tried out the latest versions of Adobe Creative cloud – CC, and l must say l am impressed over the new features and capabilities compared to the former Photoshop CS6, Lightroom etc.

Had about 16Gb 7800 files of HD/UHD pictures and videos from a recent vacation, using 3 cameras – 7DM2, Sony A7 and for UHD 4K videos the Panasonic Lumix G85 – Unfortunately l could not get Adobe CS6 Photoshop using Camera Raw 9.x.x to accept the Lumix RW2 [I only shoot pictures in RAW] images, and using the versatile Adobe DNG converter – which works – was a workflow step l didnt want to go through.
Solution, l downloaded a trial version of Adobe CC Photoshop, which came witht he laterst Camera Raw 10.x.x and both Photoshop/Lightroom opened and processed all Lumix files seamlessly.

Some screenshots:



Trying out Blender      Flip Fluids      – currently baking below lighthouse.blend sample file, 2-3 days so far, about 10 hours go go and 89Gb cache space used up!

Final space cost and rendered frame one, as of 5/29 6am [frame 0 rendered in 2.5 mins]



After 60 frames l got….


Updates 5/30

Some Log entries:

28-May-2018 23h12m33s COMPLETE Update Marker Particle Velocities
28-May-2018 23h12m33s BEGIN Delete Saved Velocity Field
28-May-2018 23h12m33s COMPLETE Delete Saved Velocity Field
28-May-2018 23h12m33s BEGIN Advect Marker Particles
28-May-2018 23h12m55s COMPLETE Advect Marker Particles
28-May-2018 23h12m55s BEGIN Update Fluid Objects
28-May-2018 23h12m55s COMPLETE Update Fluid Objects

*** Time Step Stats ***

Fluid Particles: 48044598
Fluid Cells: 7162540

Diffuse Particles: 11995192
Foam: 1968108
Bubble: 9991435
Spray: 35649

Pressure Solver Iterations: 185
Estimated Error: 3.84183e-007

Step Update Time: 161.546

*** Frame Timing Stats ***

Update Obstacle Objects 0.000s 0.0% |
Update Liquid Level Set 38.922s 5.4% ||||
Advect Velocity Field 84.487s 11.6% |||||||
Save Velocity Field 2.262s 0.3% |
Calculate Surface Curvature 99.262s 13.6% |||||||||
Apply Body Forces 0.573s 0.1% |
Apply Viscosity 0.000s 0.0% |
Solve Pressure System 200.169s 27.5% |||||||||||||||||
Constrain Velocity Fields 4.435s 0.6% |
Simulate Diffuse Material 73.749s 10.1% |||||||
Update Marker Particle Velocities 38.413s 5.3% ||||
Delete Saved Velocity Field 0.088s 0.0% |
Advance Marker Particles 63.663s 8.8% ||||||
Update Fluid Objects 0.000s 0.0% |
Output Simulation Data 1.887s 0.3% |
Generate Surface Mesh 119.589s 16.4% ||||||||||

Frame Time: 727.5
Total Time: 161269



So far l have only been able to render up to 149 frames, then l get a cuda out of memory crash. I use both a GTX970 with 4Gb and a GTX1080 with 8Gb, l’ve tried with both and with each cards. Will keep you updated, meanwhile heres a render of the 149 frames









Tears of Steel Notes

Blender Foundation tears of Steel notes l found useful.

“80,000 frames, each in OpenEXR half float files, in [16-bit] 4096 x 2160 pixels. ”
Pictures shot using the (4k native sensor) Sony F65 camera.