Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
Mathematics and Computers in Simulation - IMACS sponsored Special issue on the second IMACS seminar on Monte Carlo methods
Parallel Implementation of a Large-Scale 3-D Air Pollution Model
LSSC '01 Proceedings of the Third International Conference on Large-Scale Scientific Computing-Revised Papers
Flexible Two-Level Parallel Implementations of a Large Air Pollution Model
NMA '02 Revised Papers from the 5th International Conference on Numerical Methods and Applications
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
Parallel computation of sensitivity analysis data for the danish eulerian model
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
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The Unified Danish Eulerian Model (UNI-DEM) is a powerful air pollution model, used to calculate the concentrations of various dangerous pollutants and other chemical species over a large geographical region (mostly Europe) It takes into account the main physical and chemical processes between these species, the emissions, the deposition, advection and diffusion in dependence with the changing meteorological conditions This large and complex task is split into submodels responsible for the main physical and chemical processes In the chemical submodel there is a number of parameters, responsible for the speed of the corresponding chemical reactions By simultaneous variation of these parameters we produced a set of multidimensional discrete functions These are necessary for variance-based sensitivity analysis by using adaptive Monte Carlo approaches, which is subject to another paper. These huge computational tasks require extensive resources of storage and CPU time A highly parallel implementation of the UNI-DEM has been created for this purpose and implemented on the new IBM BlueGene/P supercomputer, the most powerful parallel machine ever in Bulgaria Some details of this implementation and a set of results obtained by it are presented in this paper.