Presentation:
Big Data meets HPC
Data Analytics and High-Performance Computing (HPC) have evolved in different communities, driven by different applications and based on different methodologies. Nevertheless, there are close relations. On the one hand, data analytics uses computational algorithms (stochastic, statistical, numerical) and needs more and more computing resources. On the other hand, in Computational Science and Engineering and simulation – the classical “customer” of HPC – data plays a more and more prominent role. Model order reduction, uncertainty quantification, or high-dimensional problems are important examples for this, and machine learning can help to use simulations in a more efficient way. Last, but not least, Big Data and HPC infrastructures are closely related, if we think of data centers and compute centers.
The presentation will discuss the interplay of Big Data and HPC from an HPC perspective, based on several examples.
Bio
Hans-Joachim Bungartz is a Professor of Informatics and Mathematics at TUM and holds the Scientific Computing chair in TUM’s Informatics Department. After having earned degrees in Mathematics and Informatics from TUM, he became Associate Professor of Mathematics at University of Augsburg, then Full Professor of Informatics at University of Stuttgart, and returned to TUM in 2005. Since 2013, he has been both Dean of Informatics and Graduate Dean, with responsibility of doctoral education TUM-wide.
Dr. Bungartz has served on various editorial, advisory, or review boards. In 2011, he became chairman of the German Research and Education Network (DFN). Furthermore, he is a board member of Leibniz Supercomputing Center. In 2016, he joined the steering committee of the Council for Doctoral Education of the European University Association.
His research interests are where Scientific Computing, CSE, and HPC meet. This includes parallel computing, hardware-aware numerics, high-dimensional problems, and aspects of HPC software, with applications such as fluid dynamics or plasma physics. Most of his projects are interdisciplinary ones – e.g., he is one of the coordinators of DFG’s Priority Program SPPEXA.
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