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Accelerated Searches of Gravitational Waves Using Graphics Processing Units

Chung, Shin Kee and Wen, Linqing and Blair, David and Cannon, Kipp (2010) Accelerated Searches of Gravitational Waves Using Graphics Processing Units. In: Frontiers of Fundamental and Cumputational Physics. AIP Conference Proceedings. No.1246. American Institute of Physics , Melville, NY, pp. 207-210. ISBN 978-0-7354-0793-0.

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The existence of gravitational waves was predicted by Albert Einstein. Black hole and neutron star binary systems will product strong gravitational waves through their inspiral and eventual merger. The analysis of the gravitational wave data is computationally intensive, requiring matched filtering of terabytes of data with a bank of at least 3000 numerical templates that represent predicted waveforms. We need to complete the analysis in real‐time (within the duration of the signal) in order to enable follow‐up observations with some conventional optical or radio telescopes. We report a novel application of a graphics processing units (GPUs) for the purpose of accelerating the search pipelines for gravitational waves from coalescing binary systems of compact objects. A speed‐up of 16 fold in total has been achieved with an NVIDIA GeForce 8800 Ultra GPU card compared with a standard central processing unit (CPU). We show that further improvements are possible and discuss the reduction in CPU number required for the detection of inspiral sources afforded by the use of GPUs.

Item Type:Book Section
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Additional Information:© 2010 American Institute of Physics. Published online 15 June 2010.
Subject Keywords:General Relativity, Gravitational Waves, Graphics Processing Units, GPU
Series Name:AIP Conference Proceedings
Issue or Number:1246
Classification Code:PACS: 04.25.Nx,04.30.Db,04.80.Nn,95.55.Ym
Record Number:CaltechAUTHORS:20160420-083357167
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Official Citation:Accelerated Searches of Gravitational Waves Using Graphics Processing Units Shin Kee Chung, Linqing Wen, David Blair and Kipp Cannon Source: AIP Conf. Proc. 1246, 207 (2010);
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:66293
Deposited By: Ruth Sustaita
Deposited On:20 Apr 2016 16:59
Last Modified:03 Oct 2019 09:55

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