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Title of your poster presentation: The ChEESE project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº 823844. A Center of Excellence for Exascale in Solid Earth Computing Insight UK 2019 (CIUK 2019) poster competition 10 new High Performance Computing Centers of Excellence (CoEs) have been created under H2020 e-Infrastructures. Among these, ChEESE is a 3-year project targeting at Solid Earth (SE) for the upcoming pre-Exascale (2020) and Exascale (2022) supercomputers. ChEESE will address 15 scientific, technical and socio-economic Exascale Computational Challenges (ECC) in the domain of SE. ChEESE will develop 12 Pilot Demonstrators (PDs) and enable services oriented to society on critical aspects of geohazards like hazard assessment, urgent computing, and early warning forecast. 10 different SE open source European codes have been selected in ChEESE: • 4 in computational seismology: EXAHYPE, SALVUS, SEISSOL, SPECFEM3D • 2 in magneto hydrodynamics: PARODY_PDAF, XSHELLS • 2 in physical volcanology: ASHEE, FALL3D • 2 in tsunami modelling: T_HYSEA, L_HYSEA ChEESE will integrate around HPC and HDA European institutions in charge of operational geophysical monitoring networks, tier-0 supercomputing centers, academia, hardware developers, and third- parties from SMEs, Industry and public governance bodies (civil protection), and pan-European infrastructures, such as the European Plate Observing System (EPOS) and EUDAT. Partners: 12 Pilot Demonstrators Integrate 10 Flagship codes 15 Exascale Computational Challenges Image from: T-Hysea (https://edanya.uma.es/hysea) Image from: Salvus (https://salvus.io) Image from: FALL3D Urgent Seismic Simulations Faster Than Real-Time Tsunami Simulations High-Resolution Volcanic Plume Simulation Physics-Based Tsunami-Earthquake Interaction Physics-Based Probabilistic Seismic Hazard Assessment (PSHA) Probabilistic Volcanic Hazard Assessment (PVHA) Probabilistic Tsunami Hazard Assessment (PTHA) Probabilistic Tsunami Forecast (PTF) for Early Warning and Rapid post Event Assessment Seismic Tomography Array-Based Statistical Source Detection and Restoration and Machine Learning from Earthquake/Volcano Slow-Earthquakes Monitoring Geomagnetic Forecasts High-Resolution Volcanic Ash Dispersal Forecast
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Page 1: Title of your poster presentation: Subtitle of the poster A ......Title of your poster presentation: Subtitle of the poster The ChEESE project has received funding from the European

Title of your poster presentation:Subtitle of the poster

The ChEESE project has received funding from the European Union’s Horizon 2020research and innovation programme under the grant agreement Nº 823844.

A Center of Excellence for Exascale in Solid EarthComputing Insight UK 2019 (CIUK 2019) poster competition

10 new High Performance Computing Centers of Excellence (CoEs) have been created under H2020 e-Infrastructures. Amongthese, ChEESE is a 3-year project targeting at Solid Earth (SE) for the upcoming pre-Exascale (2020) and Exascale (2022)supercomputers.

ChEESE will address 15 scientific, technical and socio-economic Exascale Computational Challenges (ECC) in the domain of SE.

ChEESE will develop 12 Pilot Demonstrators (PDs) and enable services oriented to society on critical aspects of geohazards like hazard assessment, urgent computing, and early warning forecast.

10 different SE open source European codes have been selected in ChEESE:

• 4 in computational seismology: EXAHYPE, SALVUS, SEISSOL, SPECFEM3D

• 2 in magneto hydrodynamics: PARODY_PDAF, XSHELLS

• 2 in physical volcanology: ASHEE, FALL3D

• 2 in tsunami modelling: T_HYSEA, L_HYSEA

ChEESE will integrate around HPC and HDA European institutions in charge of operational geophysical monitoring networks, tier-0 supercomputing centers, academia, hardware developers, and third-parties from SMEs, Industry and public governance bodies (civil protection), and pan-European infrastructures, such as the European Plate Observing System (EPOS) and EUDAT.

Partners:

12 Pilot Demonstrators

Integrate

10 Flagship codes

15 Exascale Computational Challenges

Image from: T-Hysea (https://edanya.uma.es/hysea)Image from: Salvus (https://salvus.io)Image from: FALL3D

• Urgent Seismic Simulations• Faster Than Real-Time Tsunami Simulations• High-Resolution Volcanic Plume Simulation• Physics-Based Tsunami-Earthquake Interaction• Physics-Based Probabilistic Seismic Hazard Assessment (PSHA)• Probabilistic Volcanic Hazard Assessment (PVHA)• Probabilistic Tsunami Hazard Assessment (PTHA)• Probabilistic Tsunami Forecast (PTF) for Early Warning and Rapid post Event Assessment• Seismic Tomography• Array-Based Statistical Source Detection and Restoration and Machine Learning from

Earthquake/Volcano Slow-Earthquakes Monitoring• Geomagnetic Forecasts• High-Resolution Volcanic Ash Dispersal Forecast

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