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How Machine Learning Could Change Science May 03, 2019

Artificial intelligence tools are revolutionizing scientific research and changing the needs of high performance computing. In an article from Data Center Dynamics, LLNL’s Fred Streitz and Brian Van Essen discuss the future of scientific computing, highlighting the Exascale Computing Project (ECP) and the Livermore Big Artificial Neural Network (LBANN).

The ECP is a multi-institutional Department of Energy collaboration aimed at achieving exascale computing capability. Many open source software projects, from LLNL and elsewhere, are crucial components of the ECP ecosystem.

LBANN is an open source deep learning toolkit developed at the Lab. It provides model-parallel acceleration through domain decomposition to optimize for strong scaling of network training.