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Parallel Ray Tracing Algorithm for Numerical Analysis of Laser Radiation Absorption in a Plasma

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Supercomputing (RuSCDays 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1129))

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Abstract

An original algorithm was developed for ray tracing across unstructured 3D grid. It is aimed at calculation of a laser energy deposition in plasma. A laser beam is represented as a set of individual rays whose path depends on a plasma density ratio per plasma critical density. A ray may be refracted while going through high density gradient regions. In general case rays approximating a laser beam have to be recalculated at every time step. Therefore calculation of a laser energy absorption in related plasma dynamics simulations require significant computational resources. We present a new ray-tracing algorithm for laser radiation modeling which can be implemented effective via HPC.

The set of rays built in a computational domain provides the base for the grid-characteristic computation of radiation transport in the plasma simulations using MPI parallel technique and grid decomposition. The algorithm is implemented as a C++ code and incorporated in 3D magnetohydrodynamic (MHD) Eulerian code [1]. Tracing of different rays within a single MPI-process is carried out in parallel with the use of OpenMP threads. The developed algorithm provides accounting for the anisotropy of the radiation field in complex multiscale 3D MHD simulations.

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References

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Correspondence to Alexey Kotelnikov .

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Kotelnikov, A., Tsygvintsev, I., Yakobovsky, M., Gasilov, V. (2019). Parallel Ray Tracing Algorithm for Numerical Analysis of Laser Radiation Absorption in a Plasma. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2019. Communications in Computer and Information Science, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-36592-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-36592-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36591-2

  • Online ISBN: 978-3-030-36592-9

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