4.7 Article

Hybrid Adaptive Ray-Moment Method (HARM2): A highly parallel method for radiation hydrodynamics on adaptive grids

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 330, Issue -, Pages 924-942

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2016.10.048

Keywords

Radiative transfer; Hydrodynamics; Parallelization; Long characteristics; Adaptive mesh refinement

Funding

  1. National Aeronautics and Space Administration (NASA) through Hubble Archival Research grant by Space Telescope Science Institute [HST-AR-13265.02-A]
  2. NASA [NAS 5-26555, NAS8-03060]
  3. Chandra Theory Grant Award by Chandra X-ray Observatory Center [TM5-16007X]
  4. NSF Graduate Research Fellowship Program [DGE-0809125]
  5. NASA through ATP grant [NNX13AB84G]
  6. NSF [AST-1211729]
  7. US Department of Energy at the Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
  8. NASA TCAN grant [NNX-14AB52G]
  9. Australian Research Council [DP160100695]

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We present a highly-parallel multi-frequency hybrid radiation hydrodynamics algorithm that combines a spatially-adaptive long characteristics method for the radiation field from point sources with a moment method that handles the diffuse radiation field produced by a volume-filling fluid. Our Hybrid Adaptive Ray-Moment Method (HARM(2)) operates on patch based adaptive grids, is compatible with asynchronous time stepping, and works with any moment method. In comparison to previous long characteristics methods, we have greatly improved the parallel performance of the adaptive long-characteristics method by developing a new completely asynchronous and non-blocking communication algorithm. As a result of this improvement, our implementation achieves near-perfect scaling up to O(10(3)) processors on distributed memory machines. We present a series of tests to demonstrate the accuracy and performance of the method. (C) 2016 Elsevier Inc. All rights reserved.

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