Multiscale Scientific Workflows on High-Performance Hybrid Cloud
DescriptionWe present an infrastructure for executing multiscale scientific workflows in hybrid cloud environment. We use an end-to-end modelling of mayonnaise production as an example of an industrially relevant problem involving modeling of materials properties and their corresponding processing methods. We present a container image design which allows an integration of alternative simulation services operating at atomistic, mesoscopic, and continuum levels. The image allows adjustment at runtime to carry out different multiscale studies following diverse parallel execution patterns. We then discuss a prototype of the on-demand HPC facility implemented on two variants of the virtualized infrastructure to handle these workflows in the context of hybrid cloud deployments.
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TimeMonday, 14 November 20229:15am - 9:45am CST
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