Escape 2 – Energy-efficient SCalable Algorithms for weather and climate Prediction at Exascale

ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction, and provide the key components for representative benchmarks to be deployed on extreme-scale demonstrators and beyond.

Duration
36 months from 01/10/2018 to 30/09/2021

Coordinating organization
  • European Centre for Medium-Range Weather Forecasts

CMCC Scientific Leader
CMCC Project manager
Division

General aims

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.

To achieve this goal, ESCAPE-2 has set five top-level objectives:

  • Combining frontier research on mathematics and algorithm development and extreme – scale, high-performance computing applications with novel hardware technology to design scientifically flexible and sustainable weather and climate prediction systems
  • Developing and applying a domain-specific language (DSL) concept for the weather and climate community to maximize flexibility, programmability and performance portability to heterogeneous hardware solutions across different weather and climate models
  • Establishing weather and climate model benchmarks based on world class European prediction models to enable deployment on energy efficient and heterogeneous HPC architectures, in particular Extreme-scale Demonstrators (EsD)
  • Developing a cross-disciplinary Verification, Validation, Uncertainty Quantification (VVUQ) framework to establish exascale-ready verification and uncertainty quantification tools for weather and climate prediction and beyond
  • Producing an open-source software framework to accelerate mathematical algorithm development, foster continued leadership of European weather and climate prediction models and sustain the marketing of weather -dependent innovative products and services in Europe

 

CMCC role
CMCC is involved in:

WP1 – Algorithms & Mathematics

Task 1.5 Extraction and provision of weather and climate dwarfs
CMCC contributes to:
D1.7 Extraction and provision of a list of representative algorithmic motives in the form of weather and climate dwarfs

WP2 – Programming Models & Domain-specific Languages
Task 2.1 Definition of requirements and high-level DSL
Task 2.4 Demonstration of the DSL with weather and climate prediction dwarfs

CMCC contributes to:

D2.1 High-level domain-specific language (DSL) specification
D2.4 Demonstration of domain specific language toolchain for selected weather and climate dwarfs
D2.6 Report on the usability and performance of applying DSL toolchains in weather and climate prediction

WP3 – Weather and climate benchmarks: HPCW
Task 3.1 Set-up of reference benchmarks
Task 3.3 Integration of novel dwarfs and benchmarking
Task 3.5 The HPCW Benchmark Suite

CMCC contributes to:

– Setting up the HPCW v0-benchmarks (NEMO)
– Integrating and validating novel DSL NEMO dwarf in tier-1 model benchmark suite
– Providing performance measurement and profiling analysis for the HPCW benchmark suite (NEMO)

Activities

CMCC will contribute to the following activities:

WP1 – Extracting and providing NEMO dwarf

WP2 – Providing requirements for high-level domain specific language specification and demonstrating the application of the domain specific language toolchain to NEMO dwarf

WP3 – implementation of a NEMO reference global configuration at eddying resolution for the HPCW v0- benchmarks, integration, validation and benchmark of the novel DSL NEMO dwarf in the tier-1 benchmark suite

Expected results

  • Contribution to the creation of the ETP4HPC Strategic Research Agenda, strengthened European research and industrial leadership in HPC technologies
  • Successful transition to practical exascale computing for the addressed specific element of the HPC stack
  • Covering important segments of the broader and/or emerging HPC markets, especially extreme- scale HPC systems
  • Impact on standards bodies and other relevant international research programmes and frameworks
  • European excellence in mathematics and algorithms for extreme parallelism and extreme data applications to boost research and innovation in scientific areas such as physics, chemistry, biology, life sciences, materials, climate, geosciences, etc.

Partners:

  • DEUTSCHES KLIMARECHENZENTRUM GMBH
  • MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
  • EIDGENOESSISCHES DEPARTEMENT DES INNERN
  • BARCELONA SUPERCOMPUTING CENTER – CENTRO NACIONAL DE SUPERCOMPUTACION
  • COMMISSARIAT A L’ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
  • LOUGHBOROUGH UNIVERSITY
  • INSTITUT ROYAL METEOROLOGIQUE DE BELGIQUE
  • POLITECNICO DI MILANO
  • DANMARKS METEOROLOGISKE INSTITUT
  • FONDAZIONE CENTRO EURO-MEDITERRANEO SUI CAMBIAMENTI CLIMATICI
  • BULL SAS

 

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