Journal of Computational Science Education: Toward simulating Black Widow binaries with CASTRO

Toward simulating Black Widow binaries with CASTRO

Platon I. Karpov, Maria Barrios Sazo, Michael Zingale, Weiqun Zhang, and Alan C. Calder

Volume 8, Issue 3 (December 2017), pp. 25–29

https://doi.org/10.22369/issn.2153-4136/8/3/4

BibTeX

@article{jocse-8-3-4,
  author={Platon I. Karpov and Maria Barrios Sazo and Michael Zingale and Weiqun Zhang and Alan C. Calder},
  title={Toward simulating Black Widow binaries with CASTRO},
  journal={The Journal of Computational Science Education},
  year=2017,
  month=dec,
  volume=8,
  issue=3,
  pages={25--29},
  doi={https://doi.org/10.22369/issn.2153-4136/8/3/4}
}

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We present results and lessons learned from a 2015-2016 Blue Waters Student Internship. The project was to perform preliminary simulations of an astrophysics application, Black Widow binary systems, with the adaptive-mesh simulation code Castro. The process involved updating the code as needed to run on Blue Waters, constructing initial conditions, and performing scaling tests exploring Castro's hybrid message passing/threaded architecture.