Tag Archive for parallel computing

Parallel Computing with CUDA: Perspectives for more efficient hydrological modeling

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.

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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