AMReX: a framework for block-structured adaptive mesh refinement
Abstract
AMReX is a C++ software framework that supports the development of block-structured adaptive mesh refinement (AMR) algorithms for solving systems of partial differential equations (PDEs) with complex boundary conditions on current and emerging architectures. AMR reduces the computational cost and memory footprint compared to a uniform mesh while preserving the local descriptions of different physical processes in complex multiphysics algorithms. Current AMReX-based application codes span a number of areas, including atmospheric modeling, astrophysics, combustion, cosmology, fluctuating hydrodynamics, multiphase flows, and particle accelerators. In particular, the AMReX-Astro GitHub repository holds a number of astrophysical modeling tools based on AMReX. The origins of AMReX trace back to the BoxLib software framework. AMReX supports a number of different time-stepping strategies and spatial discretizations. Solution strategies supported by AMReX range from level-by-level approaches (with or without subcycling in time) with multilevel synchronization to full-hierarchy approaches, and any combination thereof. User-defined kernels that operate on patches of data can be written in C++ or Fortran; there is also a Fortran-interface functionality which wraps the core C++ data structures and operations in Fortran wrappers so that an application code based on AMReX can be written entirely in Fortran.
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- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Center for Computational Sciences and Engineering (CCSE)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Div.
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
- NVIDIA Corp., Santa Clara, CA (United States)
- Stony Brook Univ., NY (United States). Dept. of Physics and Astronomy
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1526603
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Open Source Software
- Additional Journal Information:
- Journal Volume: 4; Journal Issue: 37; Journal ID: ISSN 2475-9066
- Publisher:
- Open Source Initiative - NumFOCUS
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Zhang, Weiqun, Almgren, Ann, Beckner, Vince, Bell, John, Blaschke, Johannes, Chan, Cy, Day, Marcus, Friesen, Brian, Gott, Kevin, Graves, Daniel, Katz, Max, Myers, Andrew, Nguyen, Tan, Nonaka, Andrew, Rosso, Michele, Williams, Samuel, and Zingale, Michael. AMReX: a framework for block-structured adaptive mesh refinement. United States: N. p., 2019.
Web. doi:10.21105/joss.01370.
Zhang, Weiqun, Almgren, Ann, Beckner, Vince, Bell, John, Blaschke, Johannes, Chan, Cy, Day, Marcus, Friesen, Brian, Gott, Kevin, Graves, Daniel, Katz, Max, Myers, Andrew, Nguyen, Tan, Nonaka, Andrew, Rosso, Michele, Williams, Samuel, & Zingale, Michael. AMReX: a framework for block-structured adaptive mesh refinement. United States. https://doi.org/10.21105/joss.01370
Zhang, Weiqun, Almgren, Ann, Beckner, Vince, Bell, John, Blaschke, Johannes, Chan, Cy, Day, Marcus, Friesen, Brian, Gott, Kevin, Graves, Daniel, Katz, Max, Myers, Andrew, Nguyen, Tan, Nonaka, Andrew, Rosso, Michele, Williams, Samuel, and Zingale, Michael. Sun .
"AMReX: a framework for block-structured adaptive mesh refinement". United States. https://doi.org/10.21105/joss.01370. https://www.osti.gov/servlets/purl/1526603.
@article{osti_1526603,
title = {AMReX: a framework for block-structured adaptive mesh refinement},
author = {Zhang, Weiqun and Almgren, Ann and Beckner, Vince and Bell, John and Blaschke, Johannes and Chan, Cy and Day, Marcus and Friesen, Brian and Gott, Kevin and Graves, Daniel and Katz, Max and Myers, Andrew and Nguyen, Tan and Nonaka, Andrew and Rosso, Michele and Williams, Samuel and Zingale, Michael},
abstractNote = {AMReX is a C++ software framework that supports the development of block-structured adaptive mesh refinement (AMR) algorithms for solving systems of partial differential equations (PDEs) with complex boundary conditions on current and emerging architectures. AMR reduces the computational cost and memory footprint compared to a uniform mesh while preserving the local descriptions of different physical processes in complex multiphysics algorithms. Current AMReX-based application codes span a number of areas, including atmospheric modeling, astrophysics, combustion, cosmology, fluctuating hydrodynamics, multiphase flows, and particle accelerators. In particular, the AMReX-Astro GitHub repository holds a number of astrophysical modeling tools based on AMReX. The origins of AMReX trace back to the BoxLib software framework. AMReX supports a number of different time-stepping strategies and spatial discretizations. Solution strategies supported by AMReX range from level-by-level approaches (with or without subcycling in time) with multilevel synchronization to full-hierarchy approaches, and any combination thereof. User-defined kernels that operate on patches of data can be written in C++ or Fortran; there is also a Fortran-interface functionality which wraps the core C++ data structures and operations in Fortran wrappers so that an application code based on AMReX can be written entirely in Fortran.},
doi = {10.21105/joss.01370},
journal = {Journal of Open Source Software},
number = 37,
volume = 4,
place = {United States},
year = {Sun May 12 00:00:00 EDT 2019},
month = {Sun May 12 00:00:00 EDT 2019}
}
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