Hybrid Adaptive Ray-Moment Method (HARM$^2$): A Highly Parallel Method
for Radiation Hydrodynamics on Adaptive Grids
A. Rosen, M. Krumholz, J. Oishi, A. Lee, and R. Klein. (2016)cite arxiv:1607.01802Comment: 27 pages, 8 figures, submitted to Journal of Computational Physics. Referee comments received and will be addressed in final version.
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.
Description
[1607.01802] Hybrid Adaptive Ray-Moment Method (HARM$^2$): A Highly Parallel Method for Radiation Hydrodynamics on Adaptive Grids
cite arxiv:1607.01802Comment: 27 pages, 8 figures, submitted to Journal of Computational Physics. Referee comments received and will be addressed in final version
%0 Generic
%1 rosen2016hybrid
%A Rosen, Anna L.
%A Krumholz, Mark R.
%A Oishi, Jeffrey S.
%A Lee, Aaron T.
%A Klein, Richard I.
%D 2016
%K hydrodynamic radiation
%T Hybrid Adaptive Ray-Moment Method (HARM$^2$): A Highly Parallel Method
for Radiation Hydrodynamics on Adaptive Grids
%U http://arxiv.org/abs/1607.01802
%X 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.
@misc{rosen2016hybrid,
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.},
added-at = {2016-07-08T10:27:24.000+0200},
author = {Rosen, Anna L. and Krumholz, Mark R. and Oishi, Jeffrey S. and Lee, Aaron T. and Klein, Richard I.},
biburl = {https://www.bibsonomy.org/bibtex/25226c3621fe0d6388b04fe9417c87039/miki},
description = {[1607.01802] Hybrid Adaptive Ray-Moment Method (HARM$^2$): A Highly Parallel Method for Radiation Hydrodynamics on Adaptive Grids},
interhash = {c7f49af4665aff1a4cdf0f8a827955a0},
intrahash = {5226c3621fe0d6388b04fe9417c87039},
keywords = {hydrodynamic radiation},
note = {cite arxiv:1607.01802Comment: 27 pages, 8 figures, submitted to Journal of Computational Physics. Referee comments received and will be addressed in final version},
timestamp = {2016-07-08T10:27:24.000+0200},
title = {Hybrid Adaptive Ray-Moment Method (HARM$^2$): A Highly Parallel Method
for Radiation Hydrodynamics on Adaptive Grids},
url = {http://arxiv.org/abs/1607.01802},
year = 2016
}