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Workshop
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Machine Learning-Aided Numerical Linear Algebra: Convolutional Neural Networks for the Efficient Preconditioner Generation
Author/Presenter
Event Type
Workshop
Registration Categories
W
Tags
Algorithms
Heterogeneous Systems
Resiliency
TimeMonday, November 12th2:40pm - 3pm
LocationD161
DescriptionMarkus Götz received his Bachelors and Masters degree in Software Engineering from the University of Potsdam in 2010 and 2014 respectively. Afterwards, he has been with the Research Center Jülich and the University of Iceland, from which Markus obtained his PhD degree in Computational Engineering for his works on parallel data-analysis algorithms on high-performance computing (HPC) systems. Since the beginning of 2018 Markus is with the Steinbuch Centre for Computing (SCC) at the Karlsruhe Institute of Technology (KIT). There, he manages the Helmholtz Analytics Framework project, a german-wide initiative with the aim of developing the data sciences in the Helmholtz Association. His research topics include applied machine learning, scalable data analysis frameworks and parallel algorithms.
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