Warp-X: a new exascale computing platform for beam-plasma simulations
J.-L. Vay, A. Almgren, J. Bell, L. Ge, D. P. Grote, M. Hogan, O., Kononenko, R. Lehe, A. Myers, C. Ng, J. Park, R. Ryne, O. Shapoval, M., Thevenet, W. Zhang

TL;DR
Warp-X is a new exascale computing platform designed for high-fidelity, large-scale plasma accelerator simulations, integrating advanced software components to leverage future supercomputers.
Contribution
The paper introduces Warp-X, a novel plasma simulation code optimized for exascale computing, combining PICSAR, AMReX, and Warp components for enhanced performance.
Findings
Development of Warp-X code for exascale plasma simulations
Integration of PICSAR and AMReX with Warp for improved scalability
Early application examples demonstrating code capabilities
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 from Lawrence Berkeley National Laboratory, in collaboration with teams from SLAC National Accelerator Laboratory and Lawrence Livermore National Laboratory, is developing a new plasma accelerator simulation tool that will harness the power of future exascale supercomputers for high-performance modeling of plasma accelerators. We present the various components of the codes such as the new Particle-In-Cell Scalable Application Resource (PICSAR) and the redesigned adaptive mesh refinement library AMReX, which are combined with redesigned elements…
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