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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.

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