Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
Studying variations of pollution levels in a given region of Europe during a long time-period
Systems Analysis Modelling Simulation - Special issue on air pollution modelling
Computational challenges in large-scale air pollution modelling
ICS '01 Proceedings of the 15th international conference on Supercomputing
Three-Dimensional Version of the Danish Eulerian Model
PARA '95 Proceedings of the Second International Workshop on Applied Parallel Computing, Computations in Physics, Chemistry and Engineering Science
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
Running an Advection-Chemistry Code on Message Passing Computers
Proceedings of the 5th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Parallel runs of a large air pollution model on a grid of Sun computers
Mathematics and Computers in Simulation
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
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UNI–DEM is an Eulerian model for studying long range transport of air pollutants The computational domain of the model covers Europe and some neighbour parts of Atlantic ocean, Asia and Africa The model mainly is developed in the National Environmental Research Institute of Denmark, located at Roskilde If UNI–DEM model is to be applied on a large space domain by using fine grids, then its discretization leads to a huge computational problem If the space domain is discretized by using a (480 x 480) grid and the number of chemical species studied by the model is 35, then several systems of ordinary differential equations containing 8 064 000 equations have to be treated at every time-step (the number of time-steps being typically several thousand) If a three-dimensional version of the same air pollution model is to be used, then the figure above must be multiplied by the number of layers This implies that such a model as UNI–DEM must be run only on high-performance computer architectures, like IBM Blue Gene/P The implementatation of such complex large–scale model on each new computer is a non trivial task Analysis of the runs of UNI–DEM performed until now on IBM Blue Gene/P computer is presented and some preliminary results on performance, speed ups and efficiency are discussed.