Integrating Post-Newtonian Equations on Graphics Processing Units

Abstract

We report on early results of a numerical and statistical study of binary black hole inspirals. The two black holes are evolved using post-Newtonian approximations starting with initially randomly distributed spin vectors. We characterize certain aspects of the distribution shortly before merger. In particular we note the uniform distribution of black hole spin vector dot products shortly before merger and a high correlation between the initial and final black hole spin vector dot products in the equal-mass, maximally spinning case. These simulations were performed on Graphics Processing Units, and we demonstrate a speed-up of a factor 50 over a more conventional CPU implementation.

Added one reference

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Cited by in corpus (8)

• Remnant Masses, Spins and Recoils from the Merger of Generic Black-Hole Binaries
• Relativistic Suppression of Black Hole Recoils
• Final spins from the merger of precessing binary black holes
• Statistical studies of Spinning Black-Hole Binaries
• q-State Potts model metastability study using optimized GPU-based Monte Carlo algorithms
• Reduced Order and Surrogate Models for Gravitational Waves
• Statistical constraints on binary black hole inspiral dynamics
• Dynamical heterogeneities as fingerprints of a backbone structure in Potts models