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.
@article{arxiv.1902.04934,
title = {Accelerating parameter inference with graphics processing units},
author = {D. Wysocki and R. O'Shaughnessy and Y-L. L. Fang and Jacob Lange},
journal= {arXiv preprint arXiv:1902.04934},
year = {2019}
}