Accelerating parameter inference with graphics processing units

Understand

Gravitational wave Bayesian parameter inference involves repeated comparisons of GW data to generic candidate predictions.

• Even with algorithmically efficient methods like RIFT or reduced-order quadrature, the time needed to perform these calculations and overall computational cost can be significant compared to the minutes to hours needed to achieve the goals of low-latency multimessenger astronomy.
• By translating some elements of the RIFT algorithm to operate on graphics processing units (GPU), we demonstrate substantial performance improvements, enabling dramatically reduced overall cost and latency.