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.

 

Catzilla Benchmark Results

Discovered this free but very good Benchmark software – Catzilla – Click here for the download website.

Here are my various PC results.

A17 laptop – GTX860M  [4 years old]

 

PC with 2xGTX560Ti   [recent build]

PC with GTX1080 8G + GTX970 4G  [ 5 year old PC , i7 2600K at 3.4Ghz 32Gb ram with new Nvidia cards]

 

Blender Open Data

I’ve used several benchmark software to compare computer hardware especially nvidia GPU cards used for cuda programming.  One good free benchmark software is Maxon CineBench    , another is Unigine Haven

 

Here are surprising results generated from the new Blender Benchmark under its Blender Open data website program.

Quick summary/my findings:

  • less render time running Linux [LinumMint] than under Windows 10 [all things turned off], same hardware
  • SSD’s help

Linux run: Workstation with GTX1080 8Gb, GTX970 4Gb, 32Gb RAM, Quad core Intel processor. No SSD

Same hardware as above but run under Windows 10

Ran on same hardware, only using the GTX1080 8Gb , under Linuxmint – impressive resuly showing in my view and from cuda/nvidia research l did that the 4Gb of the 2nd graphics card limits the performance.

 

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Home PC #2  Results below, newer PC, no SSD, 2 x GTX560Ti

Below results from Alienware 17 [4 years old] with Samsung Evo 500Gb SSD, GTX860M

Linuxmint 18.1 – Cuda 9.1 Toolkit

Updating to the latest cuda development toolkit on Linuxmint 18.1 [with a GTX 1080+970]

Notes:

Reference links:

First, update to R390 Driver

Terminal commands

sudo dpkg -i cuda-repo-ubuntu1704-9-1-local_9.1.85-1_amd64.deb

sudo apt-key add /var/cuda-repo-9-1-local/7fa2af80.pub

sudo apt-get update

sudo apt-get install cuda

Screenshots

ZCash mining – using GTX1080 GTX970 Stats

Screenshots:

GTX1080 at about 80 degrees C – and doing 474 Sol/s

GTX970 at aboyt 56 degrees C – and doing 275 Sol/s

OS – Linuxmint