DOE OSTI · 1724326
The Multiphysics on Advanced Platforms Project
Abstract
In 2015, the Lawrence Livermore National Laboratory started development of next-generation multiphysics simulation capabilities for the National Nuclear Security Administration under the Advanced Technologies Development and Mitigation (ATDM) element of the Advanced Simulation and Computing program in collaboration with the Exascale Computing Project (ECP). A key driver for this effort across the NNSA tri-lab was the emergence of advanced high performance computing (HPC) architectures based on heterogeneous compute capabilities, including GPU based systems, as part of the national drive toward exascale computing platforms at multiple Department of Energy (DOE) facilities. Developing a multiphysics code capable of meeting the various simulation needs of the NNSA as defined by the current generation of integrated codes (or ICs), initially developed as part of the Accelerated Strategic Computing Initiative (ASCI) program beginning in 1996, and able to scale to the current 100 petaflop class pre-exascale systems, as well the forthcoming exaflop class computers, is a daunting challenge. To accomplish this ambitious goal, LLNL has embraced two key themes: use of high-order numerical methods and a modular approach to code development. The LLNL next generation effort is organized under the Multi-Physics on Advanced Platforms Project (MAPP). A foundational component of MAPP is the Axom computer science (CS) toolkit which provides infrastructure for the development of modular, performance portable, multi-physics application codes. MARBL is a next-generation application code built on the Axom base to address the modeling needs of the high energy density physics (HEDP) community for simulating high-explosive, magnetic or laser driven experiments such as inertial confinement fusion (ICF), pulsed-power magneto-hydrodynamics (MHD), equation of state (EOS) and material strength studies as part of the NNSA’s stockpile stewardship program (SSP).
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Anderson, R., Black, A., Busby, L., Blakeley, B., Bleile, R., Camier, J.-S., Ciurej, J., Cook, A., Dobrev, V., Elliott, N., Grondalski, J., Harrison, C., Hornung, R., Kolev, Tz., Legendre, M., Liu, W., Nissen, W., Olson, B., Osawe, M., Papadimitriou, G., Pearce, O., Pember, R., Skinner, A., Stevens, D., Stitt, T., Taylor, L., Tomov, V., Rieben, R., Vargas, A., Weiss, K., White, D.. 2020-11-25. The Multiphysics on Advanced Platforms Project. https://doi.org/10.2172/1724326
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