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Warp-X: a new exascale computing platform for beam-plasma simulations

Authors :
Vay, J. -L.
Almgren, A.
Bell, J.
Ge, L.
Grote, D. P.
Hogan, M.
Kononenko, O.
Lehe, R.
Myers, A.
Ng, C.
Park, J.
Ryne, R.
Shapoval, O.
Thevenet, M.
Zhang, W.
Publication Year :
2018

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 of the Warp code, in the new WarpX software. The code structure, status, early examples of applications and plans are discussed.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1801.02568
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.nima.2018.01.035