Massively parallel simulations of binary black holes with adaptive wavelet multiresolution

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 multiresolution 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.