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E4S, the open source Extreme-Scale Scientific Software Stack for HPC-AI scientific applications, now incorporates AI/ML libraries and expands GPU support [...]
At SC23, held in Denver, Colorado, last November, members of ECP’s Industry and Agency Council, comprised of U.S. business executives, government agencies, [...]
Nuclear fusion processes similar to the sun’s have the potential to transform energy production on earth. At least that’s the goal of California-based TAE [...]
<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’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’s ocean circulation model, by 45%. </p>
...“the (Exascale Computing Project) software presents an array of possibilities and examples that have proven effective. The accelerated abilities [...]