PM2D: A parallel GPU-based code for the kinetic simulation of laser plasma instabilities in large scale plasmas
arxiv(2024)
摘要
Laser plasma instabilities (LPIs) have significant influences on the laser
energy deposition efficiency, hot electron generation, and uniformity of
irradiation in inertial confined fusion (ICF). In contrast to theoretical
analysis of linear development of LPIs, numerical simulations play a more and
more important role in revealing the complex physics of LPIs. Since LPIs are
typically a three-wave coupling process, the precise kinetic simulation of LPIs
requires to resolve the laser period (around one femtosecond) and laser
wavelength (less than one micron). In this paper, a full wave fluid model of
LPIs is constructed and numerically solved by the particle-mesh method, where
the plasma is described by macro particles that can move across the mesh grids
freely. Based upon this model, a two-dimensional (2D) GPU code named PM2D is
developed. It can simulate the kinetic effects of LPIs self-consistently as
normal particle-in-cell (PIC) codes. Moreover, as the physical model adopted in
the PM2D code is specifically constructed for LPIs, the required macro
particles per grid in the simulations can be largely reduced and thus overall
simulation cost is considerably reduced comparing with typical PIC codes.
Moreover, the numerical noise in our PM2D code is much lower, which makes it
more robust than PIC codes in the simulation of LPIs for the long-time scale
above 10 picoseconds. After the distributed computing is realized, our PM2D
code is able to run on GPU clusters with a total mesh grids up to several
billions, which meets the typical requirements for the simulations of LPIs at
ICF experimental scale with reasonable cost.
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