AMReX

Software · Fri Apr 28 00:00:00 EDT 2017

DOI:https://doi.org/10.5281/zenodo.4657529· OSTI ID:1777100 · Code ID:54266

Zhang, Weiqun ^[1]; Myers, Andrew ^[1]; Almgren, Ann  ^[2]; Beckner, Vince; Zingale, Michael ^[3]; Katz, Max ^[4]; Gott, Kevin ^[5]; Rosso, Michele; Nonaka, Andy ^[1]; Graves, Daniel ^[1]; Day, Marc ^[6]; Blaschke, Johannes ^[5]; Friesen, Brian ^[5]; Nguyen, Tan ^[7]; Chan, Cy ^[1]; Bell, John ^[1]; Williams, Samuel ^[1]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division
2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division; CCSE
3. Stony Brook University
4. NVIDIA
5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
6. HPACF - NREL
7. Lawrence Berkeley National Laboratory

AMReX is a software framework for the development and implementation of massively parallel algorithms using block-structured adaptive mesh refinement (AMR). Block-structured AMR provides the basis for the temporal and spatial discretization strategy for a large variety of applications of interest to the DOE. AMReX provides a unified infrastructure with the functionality needed for applications to be able to effectively and efficiently utilize machines from laptops to exascale accelerator-based architectures. AMR reduces the computational cost and memory footprint compared to a uniform mesh while preserving accurate descriptions of different physical processes in complex multi-physics algorithms. AMReX supports algorithms that solve systems of partial differential equations (PDEs) in simple or complex geometries, and those that use particles and/or particle-mesh operations to represent component physical processes.

• Short Name / Acronym: AMReX
• Project Type: Open Source, Publicly Available Repository
• Software Type: Scientific
• License(s): BSD 3-clause "New" or "Revised" License
• Programming Language(s): C++
• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

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  Primary Award/Contract Number:

  AC02-05CH11231
• DOE Contract Number: AC02-05CH11231
• Code ID: 54266
• OSTI ID: 1777100
• Country of Origin: United States

Related Subjects

adaptive mesh refinement
AMR
block-structured
particles
structured mesh
particle-mesh
complex geometry
embedded boundary