Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches

Liam Dunn; Patrick Clearwater; Andrew Melatos; Karl Wette

doi:10.1088/1361-6382/ac4616

Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches

Liam Dunn^*, Patrick Clearwater, Andrew Melatos, Karl Wette

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

The F-statistic is a detection statistic used widely in searches for continuous gravitational waves with terrestrial, long-baseline interferometers. A new implementation of the F-statistic is presented which accelerates the existing 'resampling' algorithm using graphics processing units (GPUs). The new implementation runs between 10 and 100 times faster than the existing implementation on central processing units without sacrificing numerical accuracy. The utility of the GPU implementation is demonstrated on a pilot narrowband search for four newly discovered millisecond pulsars in the globular cluster Omega Centauri using data from the second Laser Interferometer Gravitational-Wave Observatory observing run. The computational cost is 17.2 GPU-hours using the new implementation, compared to 1092 core-hours with the existing implementation.

Original language	English
Article number	045003
Journal	Classical and Quantum Gravity
Volume	39
Issue number	4
DOIs	https://doi.org/10.1088/1361-6382/ac4616
Publication status	Published - 17 Feb 2022

Access to Document

10.1088/1361-6382/ac4616

Cite this

@article{fc39629485684e63901d1d902ea61492,

title = "Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches",

abstract = "The F-statistic is a detection statistic used widely in searches for continuous gravitational waves with terrestrial, long-baseline interferometers. A new implementation of the F-statistic is presented which accelerates the existing 'resampling' algorithm using graphics processing units (GPUs). The new implementation runs between 10 and 100 times faster than the existing implementation on central processing units without sacrificing numerical accuracy. The utility of the GPU implementation is demonstrated on a pilot narrowband search for four newly discovered millisecond pulsars in the globular cluster Omega Centauri using data from the second Laser Interferometer Gravitational-Wave Observatory observing run. The computational cost is 17.2 GPU-hours using the new implementation, compared to 1092 core-hours with the existing implementation.",

keywords = "GPU, gravitational waves, neutron stars",

author = "Liam Dunn and Patrick Clearwater and Andrew Melatos and Karl Wette",

note = "Publisher Copyright: {\textcopyright} 2022 IOP Publishing Ltd.",

year = "2022",

month = feb,

day = "17",

doi = "10.1088/1361-6382/ac4616",

language = "English",

volume = "39",

journal = "Classical and Quantum Gravity",

issn = "0264-9381",

publisher = "IOP Publishing Ltd.",

number = "4",

}

TY - JOUR

T1 - Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches

AU - Dunn, Liam

AU - Clearwater, Patrick

AU - Melatos, Andrew

AU - Wette, Karl

PY - 2022/2/17

Y1 - 2022/2/17

N2 - The F-statistic is a detection statistic used widely in searches for continuous gravitational waves with terrestrial, long-baseline interferometers. A new implementation of the F-statistic is presented which accelerates the existing 'resampling' algorithm using graphics processing units (GPUs). The new implementation runs between 10 and 100 times faster than the existing implementation on central processing units without sacrificing numerical accuracy. The utility of the GPU implementation is demonstrated on a pilot narrowband search for four newly discovered millisecond pulsars in the globular cluster Omega Centauri using data from the second Laser Interferometer Gravitational-Wave Observatory observing run. The computational cost is 17.2 GPU-hours using the new implementation, compared to 1092 core-hours with the existing implementation.

AB - The F-statistic is a detection statistic used widely in searches for continuous gravitational waves with terrestrial, long-baseline interferometers. A new implementation of the F-statistic is presented which accelerates the existing 'resampling' algorithm using graphics processing units (GPUs). The new implementation runs between 10 and 100 times faster than the existing implementation on central processing units without sacrificing numerical accuracy. The utility of the GPU implementation is demonstrated on a pilot narrowband search for four newly discovered millisecond pulsars in the globular cluster Omega Centauri using data from the second Laser Interferometer Gravitational-Wave Observatory observing run. The computational cost is 17.2 GPU-hours using the new implementation, compared to 1092 core-hours with the existing implementation.

KW - GPU

KW - gravitational waves

KW - neutron stars

UR - http://www.scopus.com/inward/record.url?scp=85125437582&partnerID=8YFLogxK

U2 - 10.1088/1361-6382/ac4616

DO - 10.1088/1361-6382/ac4616

M3 - Article

SN - 0264-9381

VL - 39

JO - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

IS - 4

M1 - 045003

ER -

Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches

Abstract

Access to Document

Other files and links

Fingerprint

Cite this