Abstract: Extreme rainfall events are the major driver of landslide occurrences in mountainous and steep terrain regions around the world. Subsurface hydrology has a dominant role on the initiation of rainfall-induced landslides, since changes in the soil water content affect significantly the soil shear strength. Rainfall infiltration produces an increase of soil water potential, which is followed by a rapid drop in apparent cohesion.
Tag Archive for CUDA
A presentation that introduces the basic concepts of parallel computing with CUDA targeted to hydrological modelling applications, including results from the acceleration of a subsurface flow algorithm.
A parallel computational framework for the simulation of variably saturated flow based on the Cellular Automata concept using CUDA architecture
Abstract: A simple and efficient parallel computational framework is presented for the simulation of variably saturated flow in porous media. In this modeling approach the Cellular Automata (CA) concept is implemented. The computational domain is thus discretized with a regular grid and simple rules govern the evolution of the physical phenomena. The inherent CA concept simplicity and its natural parallelism make the parallel implementation of algorithms very efficient, especially for the simulation of large scale phenomena. Read more