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Title: Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite

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.

Authors:
 [1];  [2];  [1];  [2];  [2];  [3];  [4];  [5];  [6];  [2];  [1];  [2]
  1. Stony Brook Univ., NY (United States). Dept. of Physics and Astronomy
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Center for Computational Sciences and Engineering
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Center for Computational Sciences and Engineering
  4. Michigan State Univ., East Lansing, MI (United States). Dept. of Physics and Astronomy
  5. NVIDIA Corporation, Santa Clara, CA (United States)
  6. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21); National Science Foundation (NSF); National Aeronautic and Space Administration (NASA)
OSTI Identifier:
1459408
Grant/Contract Number:  
AC02-05CH11231; FG02-87ER40317; AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 1031; Journal Issue: 1; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Zingale, M., Almgren, A. S., Barrios Sazo, M. G., Beckner, V. E., Bell, J. B., Friesen, B., Jacobs, A. M., Katz, M. P., Malone, C. M., Nonaka, A. J., Willcox, D. E., and Zhang, W. Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite. United States: N. p., 2018. Web. doi:10.1088/1742-6596/1031/1/012024.
Zingale, M., Almgren, A. S., Barrios Sazo, M. G., Beckner, V. E., Bell, J. B., Friesen, B., Jacobs, A. M., Katz, M. P., Malone, C. M., Nonaka, A. J., Willcox, D. E., & Zhang, W. Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite. United States. doi:10.1088/1742-6596/1031/1/012024.
Zingale, M., Almgren, A. S., Barrios Sazo, M. G., Beckner, V. E., Bell, J. B., Friesen, B., Jacobs, A. M., Katz, M. P., Malone, C. M., Nonaka, A. J., Willcox, D. E., and Zhang, W. Tue . "Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite". United States. doi:10.1088/1742-6596/1031/1/012024. https://www.osti.gov/servlets/purl/1459408.
@article{osti_1459408,
title = {Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite},
author = {Zingale, M. and Almgren, A. S. and Barrios Sazo, M. G. and Beckner, V. E. and Bell, J. B. and Friesen, B. and Jacobs, A. M. and Katz, M. P. and Malone, C. M. and Nonaka, A. J. and Willcox, D. E. and Zhang, W.},
abstractNote = {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.},
doi = {10.1088/1742-6596/1031/1/012024},
journal = {Journal of Physics. Conference Series},
number = 1,
volume = 1031,
place = {United States},
year = {2018},
month = {5}
}

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