  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.
