IRTG Modern Inverse Problems (MIP)
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SSD Seminar Series with Jan Hückelheim Ph.D.

26. April 2021 @ 16:00 - 17:00

Jan Hückelheim Ph.D. – Automatic Differentiation in High Performance Computing and Machine Learning

Argonne National Laboratory, Illinois, USA


In this talk Jan Hückelheim will discuss some of the new and exciting developments in Automatic Differentiation (AD), particularly when targeting multi-core processors and GPUs, and in the context of ML and other high-level programming frameworks. AD has been used for decades to obtain derivatives and gradients for optimization, uncertainty quantification, inverse design, and related methods. As the hardware and software landscape is evolving fast, AD research has seen an influx of new ideas, developers, and users. I will talk about how ML frameworks do AD and how their approach differs from AD tools in „traditional“ scientific applications. He hopes to give the audience a broad overview of what’s out there, and what pieces of the puzzle still wait to be discovered.


26. April 2021
16:00 - 17:00


a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you need any organizational help please contact office@aices.rwth-aachen.de