Computer as Thinker/Doer: Problem-Solving Environments for Computational Science
IEEE Computational Science & Engineering
Regions: an abstraction for expressing array computation
Proceedings of the conference on APL '99 : On track to the 21st century: On track to the 21st century
Simulation of cellular automata
Future Generation Computer Systems - Special issue on cellular automata: promise in computational science
Programming cellular automata algorithms on parallel computers
Future Generation Computer Systems - Special issue on cellular automata: promise in computational science
Cellular-automata models applied to natural hazards
Computing in Science and Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Computational Steering Software Systems and Strategies
IEEE Computational Science & Engineering
Programming Environments for Cellular Automata
ACRI '96 Proceedings of the Second Conference on Cellular Automata for Research and Industry
Parallel evolutionary modelling of geological processes
Parallel Computing
A grid portal for solving geoscience problems using distributed knowledge discovery services
Future Generation Computer Systems
Parallel implementation of a cellular automaton model for the simulation of laser dynamics
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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Landslides are natural disasters which can cause serious damages in terms of lives lost, homes destroyed, economies disrupted. By understanding how and where these natural events occur, we can respond effectively when disasters strike. The simulation of landslide hazards is particularly relevant for the prevention of natural disasters, since it enables to compute risk maps and helps to design protection works. This paper presents a parallel simulator developed by a problem-solving environment, called Cellular Automata environMent for systEms modeLing Open Technology (CAMELOT), that handles debris/mud-flows. It allows interactive simulation and steering of parallel cellular computations. CAMELOT is a simulation environment that uses the cellular automata formalism to model and simulate dynamic complex phenomena on parallel machines. It combines simulation, visualization, control and parallel processing into one tool which allows to interactively explore a simulation, visualize the state of the computation as it progresses and change parameters, resolution or representation on the fly. In the paper, we give an overview of the CAMELOT system and show that the dynamics of debris/mud-flows can be simulated using a cellular automaton landslide model. The quality of the reproduced shape of the landslide demonstrates substantial agreement with the real event. Moreover, an evaluation of the performances of the simulator on a Linux Beowulf cluster is presented.