Simulation is a decision support technique used in industry and society. Contemporary simulation software systems limit model size/detail and therefore the quality of results and the amount of investigation/experimentation that can be done in a project.
This work investigates (1) how distributed simulation techniques can be used to create large scale models and (2) how advanced high performance computing architectures (e.g. cloud, exascale computing) and systems (e.g. e-Infrastructures) can be used to speed up simulation experimentation.
Examples of successful projects: we have worked successfully with over 30 companies to create new high performance simulation software, with Saker Solutions and Sellafield PLC to create high performance distributed simulations of nuclear waste reprocessing, with the Ford Motor Company to speed up engine production simulation and with several healthcare institutions to speed up experimentation via science gateways.
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