Advances in the speed of computers, mathematical modelling and computational algorithms, together with the data explosion mean that Simulation is emerging a new paradigm in Physical, Biological, Social and Economic Sciences.
The challenge of scale dominates simulation efforts wherever large disparities in spatial and temporal scales are encountered. Such disparities appear in virtually all areas of modern science including, for example, Earth System Sciences, Systems Biology, and Social Science.
Simulation Science seeks to advance understanding of such complex systems through the use of high performance and distributed computers and also to advance computer systems, exploring emerging HPC technologies such as GPGPUs, by studying scientific applications that expose the limitations and weaknesses of these systems. Of particular importance is the modelling of extreme events, both natural and man-made, as they are of enormous societal and economic significance, yet in general, they are notoriously difficult to predict.
This cluster aims to study and link the broad common underpinning causes of extreme weather, market crashes, social fads, and global epidemics using simulation science as the tool of discovery.
