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Supporting the Future of Mars Exploration with Supercomputers

Supporting the Future of Mars Exploration with Supercomputers
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Oak-ridge
Georgia
United-states
Georgia-tech-aerospace-systems-design-laboratory
Department-of-energy-office-science
Program-to-optimize-simulated-trajectories
Red-planet
Energy-office
Ridge-leadership-computing-facility
Optimize-simulated-trajectories
Georgia-tech

Custom software speeds up, stabilizes high-pr

<p>Most modern ocean models focus on two categories of waves: a barotropic system, which has a fast wave propagation speed, and a baroclinic system, which has a slow wave propagation speed. To help address the challenge of simulating these two modes simultaneously, a team from DOE&rsquo;s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM&rsquo;s ocean circulation model, by 45%.&nbsp;</p>

United-states
Los-alamos
Elizabeth-rosenthal
Shyun-kang
International-journal-of-high-performance-computing-applications
Sandia-national-laboratories
Los-alamos-national-laboratory
Environmental-research
Method-of-research
Scientific-computing-research
National-nuclear-security-administration
Office-of-science

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