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DOE OSTI · 1460078

Integrating Distributed-Memory Machine Learning into Large-Scale HPC Simulations

Huang, Amy·Barnes, Katelyn·Bearer, Joseph·Chrisinger, Evan·Stone, Christopher
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Abstract

Lawrence Livermore National Laboratory (LLNL) is a national lab based in Livermore, California. It was established in 1952 to meet increasing national security needs. They specialize in earth and atmospheric science, bioscience and bioengineering, lasers and optical science and technology, advanced materials and manufacturing, high-energy-density science, nuclear, chemical, and isotopic science and technology, and HPC, simulation and data science ((cor, 2018)). LLNL is also home to a number of large Linux clusters and supercomputers which are used to support research in their areas of specialization (mac, 2018). One purpose of the LLNL supercomputers is to run highly detailed and accurate physics simulations. These simulations allow scientists to get data on experiments that would be too expensive, difficult, or dangerous to perform in reality. With the help of simulations scientists at LLNL are able to study processes in more depth than they would be able to otherwise.

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Huang, Amy, Barnes, Katelyn, Bearer, Joseph, Chrisinger, Evan, Stone, Christopher. 2018-05-03. Integrating Distributed-Memory Machine Learning into Large-Scale HPC Simulations. https://doi.org/10.2172/1460078

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