Accelerating parameter inference with graphics processing units

Abstract

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.

v2: version accepted in PRD

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Cited by in corpus (41)

• GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
• GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
• GW190412: Observation of a Binary-Black-Hole Coalescence with Asymmetric Masses
• Properties and astrophysical implications of the 150 Msun binary black hole merger GW190521
• Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
• Massively parallel Bayesian inference for transient gravitational-wave astronomy
• GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
• Enhancing Gravitational-Wave Science with Machine Learning
• Parallelized Inference for Gravitational-Wave Astronomy
• PESummary: the code agnostic Parameter Estimation Summary page builder
• On the properties of the massive binary black hole merger GW170729
• GW250114: testing Hawking's area law and the Kerr nature of black holes
• Parameter estimation with gravitational waves
• Search for intermediate mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo
• The curious case of GW200129: interplay between spin-precession inference and data-quality issues
• Higher order gravitational-wave modes with likelihood reweighting
• Heterodyned Likelihood for Rapid Gravitational Wave Parameter Inference
• Accelerating parameter estimation of gravitational waves from compact binary coalescence using adaptive frequency resolutions
• GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run
• Gravitational-wave surrogate models powered by artificial neural networks: The ANN-Sur for waveform generation
• Rapid Parameter Estimation of Gravitational Waves from Binary Neutron Star Coalescence using Focused Reduced Order Quadrature
• Impact of subdominant modes on the interpretation of gravitational-wave signals from heavy binary black hole systems
• Tests of general relativity in the nonlinear regime: a parametrized plunge-merger-ringdown gravitational waveform model
• Applications of physics informed neural operators
• Towards the routine use of subdominant harmonics in gravitational-wave inference: re-analysis of GW190412 with generation X waveform models
• GW241011 and GW241110: Exploring Binary Formation and Fundamental Physics with Asymmetric, High-Spin Black Hole Coalescence
• Rapid and Robust Parameter Inference for Binary Mergers
• An Infrared Search for Kilonovae with the WINTER Telescope. I. Binary Neutron Star Mergers
• Accelerating Multi-Model Bayesian Inference, Model Selection and Systematic Studies for Gravitational Wave Astronomy
• Implications of comprehensive nuclear and astrophysics data on the equations of state of neutron star matter
• Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning
• Assessing and marginalizing over compact binary coalescence waveform systematics with RIFT
• Fast marginalization algorithm for optimizing gravitational wave detection, parameter estimation and sky localization
• A fully precessing higher-mode surrogate model of effective-one-body waveforms
• Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches
• Waveform systematics in identifying strongly gravitationally lensed gravitational waves: Posterior overlap method
• Accelerated parameter estimation of supermassive black hole binaries in LISA using a meshfree approximation
• Beyond GWTC-3: Analysing and verifying new gravitational-wave events from community catalogues
• Optimized localization for gravitational-waves from merging binaries
• Gravitational waves from eccentric binary neutron star mergers: Systematic biases and inadequacy of quasicircular templates
• Population Properties of Binary Black Holes with Eccentricity