Deep Learning @15 Petaflops/second: Semi-supervised pattern detection for 15 Terabytes of climate data

William Drew Collins1, Michael F Wehner2, Mr Prabhat2, Thorsten Kurth3, Nadathur Satish4, Ioannis Mitliagkas5, Jian Zhang6, Evan Racah2, Mostofa Patwary4, Narayanan Sundaram4 and Pradeep Dubey4, (1)Lawrence Berkeley National Laboratory and UC Berkeley, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (3)NVIDIA Corporation, Zurich, Switzerland, (4)Intel, Santa Clara, CA, United States, (5)Stanford University, Stanford, CA, United States, (6)Zhejiang University, Department of Atmospheric Sciences, School of Earth Sciences, Hangzhou, China
Back to: Applications of Machine Learning, Deep Learning, and Novel Statistical Approaches to the Study of Weather and Climate Using Large Data Sets I