Massively parallel simulations of binary black holes with Dendro-GR

ORAL

Abstract

Dendro-GR uses Wavelet Adaptive Multi-Resolution (WAMR) to generate an unstructured grid adapted to the spacetime geometry together with an octree based data structure. In this talk, we describe the current Dendro-GR algorithm, as well as its advantages and challenges when compared to traditional box-in-box AMR for simulating high-mass ratio black-hole binaries. The advantages include a significantly improved scaling and an associated reductions in "time to solution", as well as a more efficient use of computational resources. Among the challenges (which are not unique to Dendro-GR) is finding an automatic refinement function that efficiently produces high-resolution grids in the required regions without over resolving other regions.

*We gratefully acknowledge support from NASA award No. 80NSSC20K0528 and NSF awards No. OAC-2004044, No. PHY-2110338, and PHY-2207920

Presenters

  • Yosef Zlochower

    • Rochester Institute of Technology

Authors

  • Yosef Zlochower

    • Rochester Institute of Technology
  • Milinda Fernando

    • University of Texas at Austi
  • David W Neilsen

    • Brigham Young University
  • Eric Hirschmann

    • Brigham Young University
  • Hari Sundar

    • University of Utah
  • Jackson Bates

    • Rochester Institute of Technology
    • Rochester Institute of Technologu
  • Andrew Carroll

    • Brigham Young University
  • Liwei Ji

    • Rochester Institute of Technology
  • David Van Komen

    • University of Utah