Open AccessToward the modeling of chains of plasma accelerator stages with WarpX
Author(s) -
JeanLuc Vay,
Ann S. Almgren,
L. D. Amorim,
John B. Bell,
Lixin Ge,
Kevin Gott,
D.P. Grote,
Mark Hogan,
Axel Huebl,
Revathi Jambunathan,
Rémi Lehe,
Andrew C. Myers,
Cho-Kuen Ng,
J. Park,
Michael Rowan,
Olga V. Shapoval,
Maxence Thévenet,
W. Zhang,
Yinjian Zhao,
Edoardo Zoni
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1596/1/012059
Subject(s) - computer science , code (set theory) , frame (networking) , supercomputer , computational science , parallel computing , plasma , collider , particle in cell , computer architecture , programming language , physics , nuclear physics , telecommunications , set (abstract data type)
The Particle-In-Cell code WarpX is being developed by a team of the U.S. DOE Exascale Computing Project to enable the modeling of chains of tens of plasma accelerators on exascale supercomputers, for future collider designs. The code is combining the latest algorithmic advances (e.g., boosted frame, pseudo-spectral Maxwell solvers) with mesh refinement and runs on the latest CPU and GPU architectures. An example of the application to the modeling of up to three successive muti-GeV stages is presented. The latest implementation on GPU architectures is also reported.