WarpX: Toward Exascale Modeling of Plasma Particle Accelerators

Authors: Maxence Thevenet (Lawrence Berkeley National Laboratory), Jean-Luc Vay (Lawrence Berkeley National Laboratory), Ann Almgren (Lawrence Berkeley National Laboratory), John Bell (Lawrence Berkeley National Laboratory), Remi Lehe (Lawrence Berkeley National Laboratory), Andrew Myers (Lawrence Berkeley National Laboratory), Jaehong Park (Lawrence Berkeley National Laboratory), Olga Shapoval (Lawrence Berkeley National Laboratory), Weiqun Zhang (Lawrence Berkeley National Laboratory), Lixin Ge (SLAC National Accelerator Laboratory), Mark Hogan (SLAC National Accelerator Laboratory), Cho Ng (SLAC National Accelerator Laboratory), Dave Grote (Lawrence Livermore National Laboratory)

Abstract: Turning the current experimental plasma accelerator state-of-the-art from a promising technology into mainstream scientific tools depends critically on high-performance, high-fidelity modeling of complex processes that develop over a wide range of space and time scales. As part of the U.S. Department of Energy’s Exascale Computing Project, a team composed of LBNL, SLAC and LLNL researchers is developing a new plasma accelerator simulation tool: WarpX. We will present the code structure and how it articulates around its main components: the new Particle-In-Cell Scalable Application Resource (PICSAR) and the adaptive mesh refinement library AMReX, which are combined with redesigned elements of the Warp code, in the new WarpX software. The status, examples of convergence, scaling and applications will be presented.

Best Poster Finalist (BP): no

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