Inhalt
Kommentar |
Today's simulations often are run on supercomputers with thousands of processors. This course deals with (mainly numerical) parallel algorithms which will be investigated w.r.t their efficiency and their scaling and convergence properties. Methods for solving very large (dense and sparse) matrix problems will be in the focus of this course.
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Bemerkung |
This course will be taught in English.As everything else we start with Uni@Home.
"Flipped classroom": see information on Moodle: https://moodle.uni-wuppertal.de/course/view.php?id=20857
We start Monday, April 20
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Voraussetzungen |
Bachelor's level in basic mathematical knowledge and, more particularly, numerical methods, programming and basic algorithms and data structures
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Zielgruppe |
Master Computer Simulation in Science, Master Mathematik (Modul Vert.ParAlg), Master IT (Modul MIT 14), Lehramt Sek II, Master Computational Mechanical Engineering (Modul 7) |