Parallel Visualization of Snow

This paper presents methods for using parallel computer systems to optimize performance of previously published methods for snow modelling, to achieve real-time performance. These methods have not been created with real-time use in mind, and therefore require much computational resources. The method includes a model and parallelization scheme for snowflake motion in the air, simulation of a wind field, and accumulation of snow on the ground. Focus is set on efficient parallelization on multicore processor systems.