superB: Enabling high mass ratio binary black hole inspirals with BlackHoles@Home

Generating gravitational wave predictions with numerical relativity codes is highly computationally intensive, with the cost scaling as the square of the mass ratio of the inspiraling objects. This poses a significant challenge as we prepare for high-mass-ratio binaries detectable by the next generation of gravitational wave detectors. Improving the performance of NR simulations through better algorithms and task-based parallelism may be essential to overcome these computational challenges. BlackHoles@Home is a new NR code that makes use of highly optimized grid structures to enable binary black hole (BBH) simulations in full NR on consumer-grade hardware, at a fraction of the cost of Cartesian AMR approaches. We present progress on superB: a version of BlackHoles@Home implemented within the Charm++ parallelization framework, enabling it to run on high-performance clusters. superB will enable us to explore extreme regions of BBH parameter space and perform rapid follow-ups of gravitational wave observations.