Carnegie Mellon University's Zachary Ulissi will be among the first scientists to use the U.S. National Energy Research Scientific Computing (NERSC) Center's Perlmutter supercomputer, which will be delivered next year.
Perlmutter will be able to perform 100 million billion floating point operations per second, and Ulissi says the system "will greatly accelerate both the data generation and the machine learning model development, allowing us to compute many more iterations of our models much, much faster." NERSC describes Perlmutter as the first supercomputer to facilitate both data analysis and simulation.
The initial user cohort is encouraged to explore modeling of complex physical phenomena and real-time data analytics via Perlmutter's graphics-processing unit framework; and state-of-the-art machine and deep learning applications. Ulissi's team will use Perlmutter to expedite investigations for new materials, to function as active catalysts for renewable energy reactions.
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