Particle animation and rendering using data parallel computation
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Modeling the motion of a hot, turbulent gas
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Computer modelling of fallen snow
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
The Lattice-Boltzmann Method for Simulating Gaseous Phenomena
IEEE Transactions on Visualization and Computer Graphics
Modeling the accumulation of wind-driven snow
ACM SIGGRAPH 2002 conference abstracts and applications
A spectral-particle hybrid method for rendering falling snow
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
A geometric algorithm for snow distribution in virtual scenes
NPH'09 Proceedings of the Fifth Eurographics conference on Natural Phenomena
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Snow is a familiar scene in the Nordic countries during the winter months. This paper discusses some of the complex numerical algorithms behind snow simulations. Previous methods for snow simulation have either covered only a very limited aspect of snow, or have been unsuitable for real-time performance. Here, some of these methods are combined into a model for real-time snow simulation that handles snowflake motion through the air, wind simulation, as well as accumulation of snow on objects including the ground. With our goal towards achieving realtime performance with more than 25 frames per second, some new parallel methods for the snow model are introduced. The algorithms are first parallelized by dividing the data structures among threads. This scheme is then improved by overlapping inherently sequential algorithms with computations for the following frame, to eliminate processor idle time. SMP and multi-core systems are considered.