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GTC ON-DEMAND

HPC and AI
Presentation
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Combining Machine Learning and Numerical Modeling to Transform Atmospheric Science
Abstract:

Rapid progress in atmospheric science has been fueled in part over the years by faster computers. However, progress has slowed over the last decade due to three factors: the plateauing of core speeds, the increasing complexity of atmospheric models, and the mushrooming of data volumes. Our team at the National Center for Atmospheric Research is pursuing a hybrid approach to surmounting these barriers that combines machine learning techniques and GPU-acceleration to produce, we hope, a new generation of ultra-fast models of enhanced fidelity with nature and increased value to society.

 
Topics:
HPC and AI
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1818
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