NHR PerfLab Seminar: Efficient Solvers for Partial Differential Equations (February 4, hybrid)
Speaker: Prof. Dr. Ulrich Rüde, Chair for System Simulation (LSS), FAU
Date and time: Tuesday, February 4, 2025, 2.00 p.m. CET
Location: RRZE (Martensstr. 1), seminar room 2.049 and online via Zoom.
Access via Zoom: https://go-nhr.de/perflab-seminar
Abstract
This talk concerns the efficiency of algorithms and their implementation. When developing a new solver, your goal will naturally be to create an efficient method. This is alone because your prospects for publication would be greatly diminished if you were to advertise your new method as inherently inefficient. Efficiency, therefore, is central to research in the field. However, upon closer examination, we find that it is a surprisingly ambiguous and poorly defined concept. This observation prompts us to delve deeper: What, in fact, is efficiency? How do we measure it? How can we determine whether an algorithm is efficient? Is it the algorithm itself that must be efficient, or is it the implementation? Or, perhaps, is it not efficient at all?
Short Bio
Ulrich Rüde heads Chair for System Simulation at the University Erlangen-Nürnberg. He studied Mathematics and Computer Science at Technische Universität München (TUM) and The Florida State University. He holds a Ph.D and Habilitation degrees from TUM. His research interests are in numerical simulation and high-end computing, in particular computational fluid dynamics, multilevel methods, and software engineering for high performance computing. He is a Fellow of the Society of Industrial and Applied Mathematics.
For a list of past and upcoming NHR PerfLab seminar events, please see: https://hpc.fau.de/research/nhr-perflab-seminar-series/