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Durham University

Research & business

Research lectures, seminars and events

The events listed in this area are research seminars, workshops and lectures hosted by Durham University departments and research institutes. If you are not a member of the University, but  wish to enquire about attending one of the events please contact the organiser or host department.


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Events for 26 September 2019

Michael Bader: Components of an Exascale Hyperbolic PDE Engine

3:30pm, E240

ExaHyPE ( is an engine to solve a large class of hyperbolic PDE systems using high-order discontinous Galerkin schemes. Similar to a games "engine" it provides a versatile framework - in this case implementation of the numerical schemes on dynamically adaptive tree-structured meshes - that offers users flexibility in terms of applications - in this case the choice of PDE systems.

This talk will provide an overview of the design components of the ExaHyPE engine. It will discuss some of these components in more detail, such as a role-oriented code generation approach that exploits established techniques from template engines, or a lightweight approach for task offloading to realise reactive a-posteriori load balancing between compute nodes. And the talk will showcase some of the demonstrator applications realised with ExaHyPE so far.

Contact for more information about this event.

Kyle Mandli: Enabling Storm Surge Prediction for High-Resolution Forecasts and Climate Scenarios

4:15pm, E240

Coastal hazards related to strong storms are one of the most frequently recurring and wide spread hazards to coastal communities today. In particular storm surge, the rise of the sea surface in response to wind and pressure forcing from these storms, can have a devastating effect on the coastline.

Furthermore, with the addition of climate change related effects, the ability to predict these events quickly and accurately is critical to the protection and sustainability of these coastal areas. To accomplish this computational approaches to the problem must be able to handle its multi-scale nature while remaining computationally tractable yet physically relevant. In the past this commonly been accomplished by solving a depth-averaged set of fluid equations (the shallow water equations) and by employing non-uniform and unstructured grids. These approaches, however, have often had shortcomings due to computational expense, the need for involved model tuning, and missing physics.

In this talk, I will outline some of the approaches we have developed to address several of these shortcomings through the use of advanced computational techniques. These include adaptive mesh refinement, higher levels of parallelism, including many-core technologies, and more accurate model equations such as the two-layer shallow water equations. Combining these new approaches promises to address some of the problems in current state-of-the-art models while continuing to decrease the computational overhead needed to calculate a forecast or climate scenario.

Contact for more information about this event.