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@article{Zingale_2018,
doi = {10.1088/1742-6596/1031/1/012024},
year = 2018,
month = {may},
publisher = {{IOP} Publishing},
volume = {1031},
pages = {012024},
author = {M. Zingale and A. S. Almgren and M. G. Barrios Sazo and V. E. Beckner and J. B. Bell and B. Friesen and A. M. Jacobs and M. P. Katz and C. M. Malone and A. J. Nonaka and D. E. Willcox and W. Zhang},
title = {Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the {AMReX} Astrophysics Suite},
journal = {Journal of Physics: Conference Series},
abstract = {We describe the AMReX suite of astrophysics codes and their application to modeling problems in stellar astrophysics. Maestro is tuned to efficiently model subsonic convective flows while Castro models the highly compressible flows associated with stellar explosions. Both are built on the block-structured adaptive mesh refinement library AMReX. Together, these codes enable a thorough investigation of stellar phenomena, including Type Ia supernovae and X-ray bursts. We describe these science applications and the approach we are taking to make these codes performant on current and future many-core and GPU-based architectures.}
}
@Article{BergerOliger,
author = {M. J. Berger and J. Oliger},
title = {Adaptive Mesh Refinement for Hyperbolic Partial
Differential Equations},
journal = {Journal of Computational Physics},
volume = {53},
pages = {484--512},
month = mar,
year = 1984,
doi = {10.1016/0021-9991(84)90073-1}
}
@Article{BergerColella,
author = {M. J. Berger and P. Colella},
title = {Local Adaptive Mesh Refinement for Shock Hydrodynamics},
journal = {Journal of Computational Physics},
volume = {82},
number = {1},
pages = {64--84},
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year = 1989,
doi = {10.1016/0021-9991(89)90035-1}
}
@Article{BBSW,
author = {J. Bell and M. Berger and J. Saltzman and
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title = {A Three-Dimensional Adaptive Mesh Refinement for
Hyperbolic Conservation Laws},
journal = {SIAM Journal on Scientific Computing},
volume = {15},
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pages = {127--138},
keywords = {adaptive methods, mesh refinement},
year = 1994,
doi = {10.1137/0915008},
}
@Article{IAMR,
author = {A. S. Almgren and J. B. Bell and P. Colella and
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title = {A Conservative Adaptive Projection Method for the
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month = may,
year = {1998},
doi = {10.1006/jcph.1998.5890}
}
@Article{Pember,
author = {R. B. Pember and L. H. Howell and J. B. Bell and
P. Colella and W. Y. Crutchfield and W. A. Fiveland
and J. P. Jessee},
title = {An Adaptive Projection Method for Unsteady
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}
@ARTICLE{DayBell,
author={M. S. Day and J. B. Bell},
title={Numerical simulation of laminar reacting flows with complex chemistry},
journal={Combustion Theory and Modelling},
volume={4},
number={4},
pages={535--556},
year=2000,
doi = {10.1088/1364-7830/4/4/309}
}
@ARTICLE{BoxLib,
author = {Weiqun Zhang and
Ann S. Almgren and
Marcus Day and
Tan Nguyen and
John Shalf and
Didem Unat},
title = {{BoxLib} with Tiling: An {AMR} Software Framework},
journal = {SIAM Journal on Scientific Computing},
volume = {38},
number = {5},
pagers = {S156--S172},
year = {2016},
doi = {10.1137/15M102616X},
url = {http://arxiv.org/abs/1604.03570},
archivePrefix = {arXiv}
}
@article{sundials,
title={{SUNDIALS}: Suite of nonlinear and differential/algebraic equation solvers},
author={Hindmarsh, Alan C and Brown, Peter N and Grant, Keith E and Lee, Steven L and Serban, Radu and Shumaker, Dan E and Woodward, Carol S},
journal={ACM Transactions on Mathematical Software},
volume={31},
number={3},
pages={363--396},
year={2005},
doi = {10.1145/1089014.1089020}
}
@Misc{petsc,
author = {Satish Balay and Shrirang Abhyankar and Mark~F. Adams and Jed Brown and Peter Brune
and Kris Buschelman and Lisandro Dalcin and Alp Dener and Victor Eijkhout and William~D. Gropp
and Dmitry Karpeyev and Dinesh Kaushik and Matthew~G. Knepley and Dave~A. May and Lois Curfman McInnes
and Richard Tran Mills and Todd Munson and Karl Rupp and Patrick Sanan
and Barry~F. Smith and Stefano Zampini and Hong Zhang and Hong Zhang},
title = {{PETS}c {W}eb page},
url = {http://www.mcs.anl.gov/petsc},
howpublished = {\url{http://www.mcs.anl.gov/petsc}},
year = {2019}
}
@Misc{hypre,
title = {{Hypre} {W}eb page},
url = {https://computation.llnl.gov/projects/hypre-scalable-linear-solvers-multigrid-methods/software},
howpublished = {\url{https://computation.llnl.gov/projects/hypre-scalable-linear-solvers-multigrid-methods/software}}
}
@Misc{xsdk,
title = {{xSDK Version 0.4.0} {W}eb page},
url = {https://xsdk.info/packages/},
howpublished = {\url{https://xsdk.info/packages/}}
}
@Misc{SENSEI,
title = {{SENSEI} {W}eb page},
url = {https://sensei-insitu.org},
howpublished = {\url{https://sensei-insitu.org}}
}
@Misc{Conduit,
title = {{Conduit} {W}eb page},
url = {https://llnl-conduit.readthedocs.io/en/latest},
howpublished = {\url{https://llnl-conduit.readthedocs.io/en/latest}}
}
@Misc{CalhounWebPage,
title = {{AMR Resources} {W}eb page},
url = {https://math.boisestate.edu/~calhoun/www_personal/research/amr_software},
howpublished = {\url{https://math.boisestate.edu/~calhoun/www_personal/research/amr_software}}
}
@InCollection{Visit,
author = {Hank Childs and Eric Brugger and Brad Whitlock and Jeremy Meredith and Sean Ahern and David Pugmire and Kathleen Biagas and Mark Miller and Cyrus Harrison and Gunther H. Weber and Hari Krishnan and Thomas Fogal and Allen Sanderson and Christoph Garth and E. Wes Bethel and David Camp and Oliver R\"{u}bel and Marc Durant and Jean M. Favre and Paul Navr\'{a}til},
title = {{VisIt: An End-User Tool For Visualizing and Analyzing Very Large Data}},
year = "2012",
pages = "357--372",
month = "Oct",
booktitle = {{High Performance Visualization--Enabling Extreme-Scale Scientific Insight}},
}
@InCollection{Paraview,
author={James Ahrens and Berk Geveci and Charles Law},
title={{ParaView}: An End-User Tool for Large Data Visualization},
booktitle={{Visualization Handbook}},
publisher = {Elsevier},
year={2005},
pages = {717--731},
doi = {10.1016/B978-012387582-2/50038-1}
}
@ARTICLE{yt,
author = {{Turk}, M.~J. and {Smith}, B.~D. and {Oishi}, J.~S. and {Skory}, S. and
{Skillman}, S.~W. and {Abel}, T. and {Norman}, M.~L.},
title = "{yt: A Multi-code Analysis Toolkit for Astrophysical Simulation Data}",
journal = {The Astrophysical Journal Supplement Series},
archivePrefix = "arXiv",
eprint = {1011.3514},
primaryClass = "astro-ph.IM",
keywords = {cosmology: theory, methods: data analysis, methods: numerical },
year = 2011,
month = jan,
volume = 192,
eid = {9},
pages = {9},
doi = {10.1088/0067-0049/192/1/9},
adsurl = {http://adsabs.harvard.edu/abs/2011ApJS..192....9T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@book{Briggs,
author = {Briggs, W. and Henson, V. and McCormick, S.},
title = {A Multigrid Tutorial, Second Edition},
publisher = {Society for Industrial and Applied Mathematics},
year = {2000},
doi = {10.1137/1.9780898719505},
address = {},
edition = {Second},
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eprint = {http://epubs.siam.org/doi/pdf/10.1137/1.9780898719505}
}