Deep Learning at 15 PFlops Enables Training for Extreme Weather Identification at Scale – HPCwire


HPCwire

Deep Learning at 15 PFlops Enables Training for Extreme Weather Identification at Scale
HPCwire
Petaflop per second deep learning training performance on the NERSC (National Energy Research Scientific Computing Center) Cori supercomputer has given climate scientists the ability to use machine learning to identify extreme weather events in huge

extreme weather – Read More…