This event was cancelled due to concerns about the COVID-19 outbreak.
ChEESE presents a workshop titled "European Urgent Computing Workshop" at the EuroHPC Summit Week 2020 in Porto, Portugal on March 25, 2020.
Several high-impact phenomena require of on demand solutions of HPC applications under strong time constrains. Examples include, among other, affectations from geohazards (e.g. propagation of tsunami waves, earthquakes, volcanic eruptions), atmospheric or ocean toxic dispersal (e.g. incidental nuclear release, pathogen emission), or extreme weather events (e.g. triggering large flooding). Prompt reaction to these scenarios requires tier-0 computing infrastructures, complicated data workflows, and engagement with stakeholders formally involved in emergency management (e.g. the European Emergency Response Coordination Centre; ERCC) through shared protocols and policies. Interest to set up Urgent Computing (UC) services in Europe is growing trough the ChEESE CoE, PRACE and also recommendations of the EuroHPC INFRAG Access Policy Group.
Following the Workshop about Urgent HPC held during SC19, we would like to organize a similar one with European HPC stakeholders based on the need for these services in Europe. This half-day workshop would have around 5-6 talks of 20 minutes each, including other European HPC-related initiatives such as the ESiWACE CoE, VESTEC and Lexis projects. The event will finish with an interactive discussion panel on the subject of the need for HPC in urgent decision making. The feedback will be reported to the EC in a joint report or common white paper by various parties involved in this European workshop.
Corgo Room (TBC)
Porto Palacio Congress Hotel & Spa
Avenida da Boavista 1269
HPC and HPDA Applications for Radiological Dispersion in the Atmosphere
Antonio Cervone (Italian National Agency for New Technologies, Energy and Sustainable Economic Development)
HPC for Urgent Tsunami Computation
Steven Gibbons (Norwegian Geotechnical Institute)
Urgent Computing for Seismic Hazard Assessment: Progress and Challenges
Marta Pienkowska-Cote (ETH Zurich)
Frontiers and Challenges in the Operational Forecast of Volcanic Ash
Sara Barsotti (Icelandic MET Office) - use case
Arnau Folch (Barcelona Supercomputing Center) - HPC
Preparing HPC for Future Pandemic Virus Outbreaks
Victor Guallar (Barcelona Supercomputing Center)
Extreme-Scale Computing for the Advanced Prediction of Weather Extremes
Peter Bauer (European Centre for Medium-Range Weather Forecasts)
European Projects Panel Discussion About Urgent Computing
Arnau Folch (Barcelona Supercomputing Center) - ChEESE
Thierry Goubier (Laboratory for Integration of Systems and Technology) - LEXIS
Max Kontak (German Aerospace Center) - VESTEC
Peter Bauer (European Centre for Medium-Range Weather Forecasts) - ESiWACE
|17:30-18:00||Report and Recommendations|
HPC and HPDA Applications for Radiological Dispersion in the Atmosphere by Antonio Cervone
The dispersion of radioactive pollutants in the atmosphere, being it caused by an accident in a nuclear-related installation or by a malicious dispersion device, can pose serious hazards to the population. Emergency centers around Europe must be equipped to deal with such threats with simulation tools that can model the dispersion of such pollutants in very short times (faster than real time) in order to support the decision-makers.
The stringent time requirements have led in the past to the use of simplified and over-conservative models such as the Gaussian plume model that, however, can poorly represent the real pollutant distribution in complex terrain and large urbanized areas.
More accurate models, such as the Lagrangian micro-dispersion models, can deal with the geometric complexity and produce far more accurate results, but they have not been yet adopted due to their large computational requirements.
In this framework, HPC-optimized simulation tools should be developed in order to guarantee the timely delivery of accurate results and replace the old solutions that are still in use. The development of atmospheric dispersion in the HPC environment should revolve around the creation of integrated platforms that have common objectives with other Urgent HPC fields such as the integration with real-time on-field measurements, automatic acquisition of data from sensors, cybersecurity, targeted visualization tools, etc. Finally, source identification and localization can exploit HPDA through AI-trained surrogate inverse models that leverage extensive datasets of synthetic direct simulations.
The presentation will introduce and discuss some examples from current and forthcoming development projects that have started to address these complex issues.
HPC for Urgent Tsunami Computation by Steven Gibbons
Tsunamis pose a hazard to coastal populations that can strike the population within minutes after being generated, giving very little time for warning. In this context, Faster Than Real Time (FTRT) numerical simulations are needed to forecast and warn of tsunamis effectively. Such urgent computations have until recently been infeasible for use in tsunami early warning. The implementation of efficient numerical tsunami codes using Graphical Processing Units (GPUs) has now allowed much faster simulations and opened for FTRT tsunami computations. While a tsunami simulation from a single source can now be run many times faster than real time, realistic forecasts for tsunami hazard need to run vast numbers of concurrent FTRT simulations, given the significant source uncertainty immediately after a large earthquake. This application is called Probabilistic Tsunami Forecasting, or PTF. FTRT and PTF are so-called pilot demonstrators in the European Commission-funded ChEESE project (www.cheese-coe.eu). A third tsunami-related pilot demonstrator in ChEESE is Probabilistic Tsunami Hazard Analysis, or PTHA. Both the PTF and the PTHA applications makes extensive use of the faster than real time computations as a basis for more rigorous assessments. In PTHA, we quantify the likelihood of exceeding a specified metric of tsunami inundation at a given location within a given time interval. This provides scientific guidance for decision making in coastal engineering and evacuation planning. In this presentation, we will present an overview of tsunami urgent computing methodologies. To this end, the presentation will first address the FTRT, and how an upscaling of HPC resources could significantly improve the accuracy and feasibility of more complex methods such as PTF and local PTHA.
Extreme-Scale Computing for the Advanced Prediction of Weather Extremes by Peter Bauer
Numerical weather prediction (NWP) has a long record of delivering reliable forecasts of extreme events up to weeks ahead on a daily basis. Examples are wind storms, heavy precipitation, cold spells, heat waves and droughts which affect all sectors of society. With climate change the probability of occurrence and intensity of extremes is very likely changing, which poses great challenges for climate projections based on numerical simulations to reach a sufficient level of reliability for decision making.
The operational schedules of urgent computing in global NWP production allocate (roughly) hourly slots for collecting and pre-processing hundreds of millions of observations, producing the initial conditions with very complex mathematical data assimilation algorithms, and running ensemble forecasts to predict the most likely evolution of weather and extremes. Limited area systems run similar workflows but with more frequent updates per day and higher spatial resolution over selected regions.
Traditionally, these workflows are operated on dedicated HPC and data handling/dissemination systems and the underlying software is bespoke and has evolved over decades. The increasing concern about computing and data handling efficiency - given an increasing demand for higher resolution, more model complexity and larger ensembles - has led to signifiant investments in code and workflow redesign in this community.
The obvious need for evidence based decision-making in support of climate change adaptation and society's need to deal responsibly with extremes has raised the bar for such investments in software development. This raises the question of how Europe can focus resources and coordinate its excellence in science and technology to address one of the biggest challenges of our generation.