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An Exascale Hyperbolic PDE Engine

Objective

Many aspects of our life, but also cutting-edge research questions, hinge on the solution of large systems of partial differential equations expressing conservation laws. Such equations are solved to compute accurate weather forecast, complex earthquake physics, hematic flows in patients, or the most catastrophic events in the universe. Yet, our ability to exploit the predictive power of these models is still severely limited by the computational costs of their solution. Thus, the simulation of earthquakes and their induced hazards is not yet accurate enough to prevent human losses. And our ability to model astrophysical objects is still insufficient to explain our observations.

While exascale supercomputers promise the performance to tackle such problems, current numerical methods are either too expensive, because not sufficiently accurate, or too inefficient, because unable to exploit the latest supercomputing hardware. Exascale software needs to be redesigned to meet the disruptive hardware changes caused by severe constraints in energy consumption.

We thus develop a new exascale hyperbolic simulation engine based on high-order communication-avoiding Finite-Volume/Discontinuous-Galerkin schemes yielding high computational efficiency. We utilize structured, spacetree grids that offer dynamic adaptivity in space and time at low memory footprint. And we consequently optimise all compute kernels to minimise energy consumption and exploit inherent fault-tolerance properties of the numerical method.

As a general hyperbolic solver, the exascale engine will drive research in diverse areas and relieve scientist from the burden of developing robust and efficient exascale codes. Its development is driven by precise scientific goals, addressing grand challenges in geo- and astrophysics, such as the dynamic rupture processes and subsequent regional seismic wave propagation, or the modeling of relativistic plasmas in the collision of compact stars and explosive phenomena.

Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution
€ 663 750,00
Address
Arcisstrasse 21
80333 Muenchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Participants (6)

UNIVERSITA DEGLI STUDI DI TRENTO
Italy
Net EU contribution
€ 490 000,00
Address
Via Calepina 14
38122 Trento

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Region
Nord-Est Provincia Autonoma di Trento Trento
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
UNIVERSITY OF DURHAM
United Kingdom
Net EU contribution
€ 573 750,00
Address
Stockton Road The Palatine Centre
DH1 3LE Durham

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Region
North East (England) Tees Valley and Durham Durham CC
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
STIFTUNG FRANKFURT INSTITUTE FOR ADVANCED STUDIES
Germany
Net EU contribution
€ 450 000,00
Address
Ruth Moufang Strasse 1
60438 Frankfurt Am Main

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Region
Darmstadt Frankfurt am Main, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Germany
Net EU contribution
€ 366 250,00
Address
Geschwister Scholl Platz 1
80539 Muenchen

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
RSK TEHNOLOGII ZAO
Russia
Net EU contribution
€ 0,00
Address
Kutuzovskii Prospect 36 Building 23
121179 Moskva

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 77 500,00
BAYERISCHE FORSCHUNGSALLIANZ BAVARIAN RESEARCH ALLIANCE GMBH
Germany
Net EU contribution
€ 251 250,00
Address
Prinzregentenstrasse 52
80538 Munchen

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Other
Other funding
€ 0,00