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Persistent URL http://purl.org/net/epubs/work/42016095
Record Status Checked
Record Id 42016095
Title Uncertainty Quantification-as-a-Service
Contributors
Abstract Uncertainty Quantification (UQ), which enables non-destructive virtual testing, is the fast growing area of modern computational science. UQ methods are computationally intensive and require construction of complex work-flows, which rely on a number of different software components often coming from different projects. Therefore, there is a need for developing a portable and scalable UQ pipeline that will enable efficient stochastic modelling. Our paper introduces a strategy for UQ as a Service (UQaaS) using High Performance Computing (HPC) and Hybrid Cloud infrastructures and presents its application to a heat transfer study in nuclear reactors simulation and modelling of tsunami events.
Organisation STFC , HC
Keywords high performance computing, , cloud, , uncertainty quantification, , microservices, , modelling
Funding Information Department for Business, Energy and Industrial Strategy, Innovation Return on Research
Related Research Object(s):
Language English (EN)
Type Details URI(s) Local file(s) Year
Paper In Conference Proceedings In 28th Annual International Conference on Computer Science and Software Engineering (CASCON 18), Toronto, Canada, 29-31 Oct 2018, (2018). uqaas.pdf 2018
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