ExaHyPEProject ID: 671698
Financé au titre de:
An Exascale Hyperbolic PDE Engine
Détails concernant le projet
Coût total:EUR 2 872 500
Contribution de l'UE:EUR 2 795 000
Sujet(s):FETHPC-1-2014 - HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications
Appel à propositions:H2020-FETHPC-2014See other projects for this call
Régime de financement:RIA - Research and Innovation action
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.
Contribution de l'UE: EUR 663 750
Contribution de l'UE: EUR 490 000
VIA CALEPINA 14
Contribution de l'UE: EUR 573 750
University Office, Old Elvet
DH1 3HP DURHAM
Contribution de l'UE: EUR 450 000
Contribution de l'UE: EUR 366 250
GESCHWISTER SCHOLL PLATZ 1
Contribution de l'UE: EUR 0
KUTUZOVSKII PROSPECT 36 BUILDING 23
Contribution de l'UE: EUR 251 250