http://lifc.univ-fcomte.fr/dfma07/International audienceThis paper introduces a research project and a software environment to speed up and size up problem modeling with Partial Differential Equations (PDE). These PDE are defined from a \Mathematica interface, and are automatically solved by a devoted cellular automata program generated to be run on mainframes, clusters and Grids. Moreover, an interactive and graphic control of the cellular automata running allows to analyze the PDE model relevance. This environment improves large scale simulation usage in early stages of research projects
Recently, a new iterative domain-decomposition method has been developed which has been used to solv...
The data volume of Partial Differential Equation (PDE) based ultra-large-scale scientific simul...
Many important problems in physics and engineering like fluid dynamics and continuum mechanics are m...
http://lifc.univ-fcomte.fr/dfma07/International audienceThis paper introduces a research project and...
Many scientific processes can be modeled by a solution of partial differential equations. The increa...
The pre-print archived version is not the one that is published, as the editor does not formally all...
Partial Differential Equation (PDE) modelling is an important tool in scientific domains for bridgin...
Solving partial differential equations (PDEs) is a fundamental challenge in many application domains...
This paper describes the functionality and architecture of a Grid-enabled partial differential equat...
Computing has revolutionised the study of complex nonlinear systems, both by allowing us to solve pr...
Problem solving environments represent the next generation of scientific computing software. This th...
Cellular Automata (CA) properties facilitate the detail required for the bottom-up approach to model...
Numerical simulation with partial differential equations is an important discipline in high performa...
The development of an automatic, dynamic, parallel, Cartesian, linear forest-of-octree grid generato...
Die vorliegende Dissertation untersucht die starke Skalierbarkeit einer Implementierung eines AMG-PC...
Recently, a new iterative domain-decomposition method has been developed which has been used to solv...
The data volume of Partial Differential Equation (PDE) based ultra-large-scale scientific simul...
Many important problems in physics and engineering like fluid dynamics and continuum mechanics are m...
http://lifc.univ-fcomte.fr/dfma07/International audienceThis paper introduces a research project and...
Many scientific processes can be modeled by a solution of partial differential equations. The increa...
The pre-print archived version is not the one that is published, as the editor does not formally all...
Partial Differential Equation (PDE) modelling is an important tool in scientific domains for bridgin...
Solving partial differential equations (PDEs) is a fundamental challenge in many application domains...
This paper describes the functionality and architecture of a Grid-enabled partial differential equat...
Computing has revolutionised the study of complex nonlinear systems, both by allowing us to solve pr...
Problem solving environments represent the next generation of scientific computing software. This th...
Cellular Automata (CA) properties facilitate the detail required for the bottom-up approach to model...
Numerical simulation with partial differential equations is an important discipline in high performa...
The development of an automatic, dynamic, parallel, Cartesian, linear forest-of-octree grid generato...
Die vorliegende Dissertation untersucht die starke Skalierbarkeit einer Implementierung eines AMG-PC...
Recently, a new iterative domain-decomposition method has been developed which has been used to solv...
The data volume of Partial Differential Equation (PDE) based ultra-large-scale scientific simul...
Many important problems in physics and engineering like fluid dynamics and continuum mechanics are m...