Trends in Computational Electromagnetics - Many Core Computing, 3R-Strategies, Information Content
Trends in Computational Electromagnetics - Many Core Computing, 3R-Strategies, Information Content
- Author(s): M. Clemens
- DOI: 10.1049/cp.2019.0107
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- Author(s): M. Clemens Source: Tenth International Conference on Computational Electromagnetics (CEM 2019), 2019 page (5 pp.)
- Conference: Tenth International Conference on Computational Electromagnetics (CEM 2019)
- DOI: 10.1049/cp.2019.0107
- ISBN: 978-1-83953-066-1
- Location: Edinburgh, UK
- Conference date: 19-20 June 2019
- Format: PDF
Current active and trending fields of research in Computational Electromagnetics (CEM) are shortly addressed: This includes the impact of many core computer hardware systems on CEM simulation schemes ranging from low cost tablets to scalable cloud computing solutions. Multi parameter optimization and uncertainty quantification schemes may require up to several thousand simulation runs which motivates ongoing research for computationally inexpensive surrogate and reduced order models. Problems of popular ROM schemes based on a singular value decomposition (SVD) of snapshot matrices for nonlinear and large scale problems are addressed. Alternative ROM schemes based on information content analysis techniques and regression based schemes are presented as learning techniques with their possible impact on (pseudo) time series and surrogate models in CEM simulations.
Inspec keywords: optimisation; learning (artificial intelligence); singular value decomposition; regression analysis; reduced order systems; cloud computing; computational electromagnetics
Subjects: Internet software; Knowledge engineering techniques; Other topics in statistics
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