If you want realistic fire colors, the process of tweaking the colors directly can be time consuming and tedious, though.

You can design your color gradients manually for full artistic control.

Getting the colors right is critical when creating believable fire animations. Instead of carefully changing parameters, sending off the simulation job and not seeing the results for hours, fluid simulations can be tweaked in quick iterations with the artist observing the effect of the changes while the simulation is processing. This allows you to achieve close to real-time speeds for low resolutions and scale smoothly to high resolutions in the hundreds of millions of voxels. When GPU memory is exceeded, TurbulenceFD switches back to the CPU on-the-fly. All features are supported at the same quality. Unlike some GPU based tools, this is not just a stripped down version of the CPU simulation. It features a hybrid CPU/GPU simulation pipeline that achieves enormous speedups. And there's a simple reason for that: today's high-end GPUs have 8-15 times the memory throughput of high-end CPUs. Yes, twelve times! 10 minutes instead of 2 hours. To the artist this means that more iterations can be run in less time, making the work with fluids more intuitive and productive. And implementing this pipeline using the latest High Performance Computing technology to optimally exploit Memory Caches, Multi-Core CPUs and advanced vector instruction sets. This includes a careful selection of efficient numerical methods that provide high accuracy and stability throughout the simulation pipeline. That is why TurbulenceFD's simulation pipeline has been designed from the ground up to optimize performance. The biggest technological challenge in fluid simulation is the handling of the large amounts of data that a sequence of voxel grids requires. The flow then carries along these emissions in a physically plausbile way that creates the realistic look of fire, explosions, vapor, clouds, dust and much more. To setup a fluid simulation, the artist uses any type of geometric object or particle system to paint the sources of smoke, heat, fuel, etc. This simulation process produces a voxel grid for each frame, which is cached on disk for use by the Volumetric Renderer. For each voxel TurbulenceFD calculates the velocity of the fluid as well as several channels to describe properties like temperature, smoke density, amount of fuel, etc.

That means it uses a voxel grid to describe the volumetric clouds of smoke and fire and solves the equations that describe the motion of fluid on that grid. Jawset TurbulenceFD's simulation pipeline implements a voxel-based solver based on the incompressible Navier Stokes equations.

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