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Hybrid Adaptive Ray-Moment Method (HARM$^2$): A Highly Parallel Method for Radiation Hydrodynamics on Adaptive Grids
- Publication Year :
- 2016
-
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 $\mathcal{O}(10^3)$ processors on distributed memory machines. We present a series of tests to demonstrate the accuracy and performance of the method.<br />27 pages, 8 figures, submitted to Journal of Computational Physics. Referee comments received and will be addressed in final version
- Subjects :
- Physics and Astronomy (miscellaneous)
Computer science
FOS: Physical sciences
01 natural sciences
Field (computer science)
0103 physical sciences
Point (geometry)
Instrumentation and Methods for Astrophysics (astro-ph.IM)
010303 astronomy & astrophysics
Scaling
Solar and Stellar Astrophysics (astro-ph.SR)
Simulation
Numerical Analysis
Series (mathematics)
010308 nuclear & particles physics
Adaptive mesh refinement
Applied Mathematics
Computational Physics (physics.comp-ph)
Computer Science Applications
Moment (mathematics)
Computational Mathematics
Astrophysics - Solar and Stellar Astrophysics
Asynchronous communication
Modeling and Simulation
Distributed memory
Astrophysics - Instrumentation and Methods for Astrophysics
Algorithm
Physics - Computational Physics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....01fc3d122df180dd8b58d5df916645ef