Massively parallel simulations of binary black holes with adaptive wavelet multiresolution
Milinda Fernando, David Neilsen, Yosef Zlochower, Eric Hirschmann, Hari Sundar
Abstract
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.
Topics & Concepts
Massively parallelWaveletMultiresolution analysisBinary numberGridOctreeComputational scienceBinary black holeComputer scienceScalingConvergence (economics)PhysicsCode (set theory)SpacetimeAlgorithmWavelet transformParallel computingGeometryAstrophysicsDiscrete wavelet transformMathematicsArtificial intelligenceArithmeticEconomicsSet (abstract data type)Quantum mechanicsProgramming languageEconomic growthGravitational wavePulsars and Gravitational Waves ResearchAstrophysical Phenomena and ObservationsBlack Holes and Theoretical Physics