Ziel
ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction, and provide the key components for weather and climate domain benchmarks to be deployed on extreme-scale demonstrators and beyond. This will be achieved by developing bespoke and novel mathematical and algorithmic concepts, combining them with proven methods, and thereby reassessing the mathematical foundations forming the basis of Earth system models. ESCAPE-2 also invests in significantly more productive programming models for the weather-climate community through which novel algorithm development will be accelerated and future-proofed. Eventually, the project aims at providing exascale-ready production benchmarks to be operated on extreme-scale demonstrators (EsD) and beyond. ESCAPE-2 combines cross-disciplinary uncertainty quantification tools (URANIE) for high-performance computing, originating from the energy sector, with ensemble based weather and climate models to quantify the effect of model and data related uncertainties on forecasting – a capability, which weather and climate prediction has pioneered since the 1960s.
The mathematics and algorithmic research in ESCAPE-2 will focus on implementing data structures and tools supporting parallel computation of dynamics and physics on multiple scales and multiple levels. Highly-scalable spatial discretization will be combined with proven large time-stepping techniques to optimize both time-to-solution and energy-to-solution. Connecting multi-grid tools, iterative solvers, and overlapping computations with flexible-order spatial discretization will strengthen algorithm resilience against soft or hard failure. In addition, machine learning techniques will be applied for accelerating complex sub-components. The sum of these efforts will aim at achieving at the same time: performance, resilience, accuracy and portability.
Wissenschaftliches Gebiet
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-FETHPC-2017
Finanzierungsplan
RIA - Research and Innovation action
Koordinator
RG2 9AX Reading
United Kingdom
Auf der Karte ansehen
Beteiligte (11)
20146 Hamburg
Auf der Karte ansehen
80539 Munchen
Auf der Karte ansehen
3003 Bern
Auf der Karte ansehen
08034 Barcelona
Auf der Karte ansehen
75015 Paris 15
Auf der Karte ansehen
LE11 3TU Loughborough
Auf der Karte ansehen
1180 Bruxelles
Auf der Karte ansehen
20133 Milano
Auf der Karte ansehen
2100 Kobenhavn
Auf der Karte ansehen
73100 Lecce
Auf der Karte ansehen
78340 Les Clayes Sous Bois
Auf der Karte ansehen