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2 Annals of Computer Science and Information Systems

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Performance and scalability experiments with a large-scale air pollution model on the EuroHPC petascale supercomputer DISCOVERER

Ostromsky Tzvetan

Annals of Computer Science and Information Systems

2022

Vol. 32

81--84

The basic parallel versions of the Danish Eulerian Model (UNI-DEM) has been implemented on the new petascale supercomputer DISCOVERER, installed last year in Sofia, Bulgaria by the company Atos. DISCOVERER is part of the European High Performance Computing Joint Undertaking (EuroHPC), which is building a network of 8 powerful supercomputers across the European Union (3 pre-exascale and 5 petascale).The results of some scalability experiments with the basic MPI and a hybrid MPI-OpenMP parallel implementations of UNI-DEM on the new Bulgarian petascale supercomputer DISCOVERER (in EuroHPC network) are presented here. They are compared with similar earlier experiments performed on the Mare Nostrum III supercomputer (petascale too) at Barcelona Supercomputing Centre - the most powerful supercomputer in Spain by that time, upgraded currently to the pre-exascale Mare Nostrum V, also part of the EuroHPC JU infrastructure.

Optimized stochastic methods for sensitivity analysis for large-scale air pollution model

Todorov Venelin, Ostromsky Tzvetan, Dimov Ivan, Georgieva Rayna

Annals of Computer Science and Information Systems

2021

Vol. 26

85--88

Environmental security is rapidly becoming a significant topic of present interest all over the world, and environmental modelling has a very high priority in various scientific fields, respectively. Different optimizations of the Latin Hypercube Sampling algorithm have been used in our sensitivity studies of the model output results for some air pollutants with respect to the emission levels and some chemical reactions rates.