Success Story: Predict the damage to infrastructures caused by storms and map more precisely the risks of claims for insurance

NCC presenting the success story

The French NCC: CC-FR, dedicated to HPC, HPDA and AI technologies, brings together the community of technology providers and users. CC-FR federates the HPC, HPDA and AI ecosystem and supports SMEs on the use of intensive computing, high-performance data analysis and artificial intelligence.

Industrial Organisations Involved:

CC-FR, set up within the framework of EuroHPC, is managed by the European Pole of Competence in high performance digital simulation Teratec, in association with the European Center for Advanced Research and Training in Scientific Computing Cerfacs and with the participation of the Big National Equipment Intensive Computing  Genci.

Name and logo of the SME:

Name: Risk Weather Tech;
Website: https://www.riskweathertech.com;

Technical/scientific Challenge:

Because of the recurrence of intense weather disturbances in France, Risk Weather Tech has developed, thanks to the Criann’s Myria supercomputer, a vast catalogue of storms physically and statistically plausible. Main objectives: to anticipate potential damage to infrastructures and to map more precisely the risks of claims for insurance

Results:

Using the Myria super calculator of CRIANN, Risk weather Tech has realised 10,000 probable and realistic storms simulation that could take place in France. More than 870,000 CPU hours on the Criann’s Myria supercomputer was needed.

Solution:

Risk Weather Tech integrated the CC-FR Tailored Program, to benefit from a high-level support in intensive computing. In collaboration with CRIANN (Regional Centre Information Technology and Digital Applications Normandy), Risk Weather Tech  was able to access the MYRIA supercomputer, equipped with more than 10,000 computing cores connected in very high throughput, and capable close to 700 trillion transactions per second.

Benefits:

This first Catalogue of 10,000 Storms simulation permitted to propose service offerings to predict the damage to infrastructures caused by storms and map more precisely the risks of claims for insurance