Faster finite difference schemes for numerical relativity

ORAL

Abstract

Future advances in gravitational wave detector technology will provide both more accurate observations of merger events and observations from a wider variety of sources. The challenge for numerical relativity is to improve our numerical solutions of Einstein's equations by a commensurate amount. Dendro-GR is a new code for numerical relativity, which uses Wavelet Adaptive Multi-Resolution (WAMR) to construct unstructured meshes for massively parallel simulations. To further improve Dendro-GR's performance, we are testing compact finite difference schemes for evolving the Einstein equations in the BSSN formulation. Compact finite difference stencils can achieve equal or higher accuracy than standard finite differences with less communication for parallel runs. We will present some initial tests of compact finite differences with the BSSN equations in Dendro-GR, including measures of accuracy and performance gains. We will discuss some of the challenges that were encountered, and plans to further improve the code's performance for production-level simulations.

*NSF 2207615

Presenters

  • David W Neilsen

    • Brigham Young University

Authors

  • David W Neilsen

    • Brigham Young University
  • Yosef Zlochower

    • Rochester Institute of Technology
  • Milinda Fernando

    • University of Texas at Austin
  • Hari Sundar

    • University of Utah
  • Eric Hirschmann

    • Brigham Young University
  • Andrew Carroll

    • Brigham Young University
  • liwei Ji

    • Rochester Institute of Technology
  • Jackson Bates

    • Rochester Institute of Technology
    • Rochester Institute of Technologu
  • David Van Komen

    • University of Utah