Abstract
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.
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