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.
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Presenters
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Yosef Zlochower
Rochester Institute of Technology
Authors
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Yosef Zlochower
Rochester Institute of Technology
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Milinda Fernando
University of Texas at Austi
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David W Neilsen
Brigham Young University
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Eric Hirschmann
Brigham Young University
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Hari Sundar
University of Utah
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Jackson Bates
Rochester Institute of Technology, Rochester Institute of Technologu
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Andrew Carroll
Brigham Young University
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Liwei Ji
Rochester Institute of Technology
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David Van Komen
University of Utah