NERSC, Berkeley Lab Explore Frontiers of Deep Learning for Science

Deep learning is not a new concept in academic circles or behind the scenes at “Big Data” companies like Google and Facebook, where algorithms for automated pattern recognition are a fundamental part of the infrastructure. But when it comes to applying these same tools to the extra-large scientific datasets that pass through the supercomputers at the National Energy Research Scientific Computing Center (NERSC) on a daily basis, it’s a different story. Now a collaborative effort at Berkeley Lab is working to change this scenario by applying deep learning software tools developed for high performance computing environments to a number of “grand challenge” science problems running computations at NERSC and other supercomputing facilities. “We are trying to assess if deep learning can be successfully applied to scientific datasets in climate studies,…


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