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2019 GTC San Jose
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S9750 - Advancing U.S. Weather Prediction Capabilities with Exascale HPC

Session Speakers
Session Description

We'll discuss the revolution in computing, modeling, data handling and software development that's needed to advance U.S. weather-prediction capabilities in the exascale computing era. Creating prediction models to cloud-resolving 1 KM-resolution scales will require an estimated 1,000-10,000 times more computing power, but existing models can't exploit exascale systems with millions of processors. We'll examine how weather-prediction models must be rewritten to incorporate new scientific algorithms, improved software design, and use new technologies such as deep learning to speed model execution, data processing, and information processing. We'll also offer a critical and visionary assessment of key technologies and developments needed to advance U.S. operational weather prediction in the next decade.


Additional Information
Climate/Weather/Ocean Modeling
AI/Deep Learning Research, Climate/Weather/Ocean Modeling, HPC and AI
Government / National Labs
All technical
Talk
50 minutes
Session Schedule