Massively parallel simulations of binary black holes with Dendro-GR

David Neilsen; Eric W. Hirschmann; Hari Sundar; Milinda Fernando; Yosef Zlochower

Massively parallel simulations of binary black holes with Dendro-GR

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arxiv 2211.11575 v1 pith:DH6WIOQ6 submitted 2022-11-17 gr-qc astro-ph.HE

Massively parallel simulations of binary black holes with Dendro-GR

Milinda Fernando , David Neilsen , Yosef Zlochower , Eric W. Hirschmann , Hari Sundar This is my paper

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keywords dendro-grbinaryblackcodesimulationsadaptedadaptivecomparisons

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We present results from the new Dendro-GR code. These include simulations of binary black hole mergers for mass ratios up to q=16. 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. We demonstrate good scaling, improved convergence properties and efficient use of computational resources. We validate the code with comparisons to LazEv.

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