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Accelerating parameter inference with graphics processing units

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 نشر من قبل Richard O'Shaughnessy
 تاريخ النشر 2019
  مجال البحث فيزياء
والبحث باللغة English
 تأليف D. Wysocki




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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.



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