Uncertainty Quantification-as-a-Service

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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	M Zimon (IBM Research), V Elisseev (IBM Research), R Sawko (IBM Research), S Antao (IBM Research), K Jordan (IBM Research)
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	BEIS, Innovation Return on Research
Related Research Object(s):
Licence Information:
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