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A GPU implementation of the harmonic sum algorithm

Abstract:
Time-domain radio astronomy utilizes a harmonic sum algorithm as part of the Fourier domain periodicity search, this type of search is used to discover single pulsars. The harmonic sum algorithm is also used as part of the Fourier domain acceleration search which aims to discover pulsars that are locked in orbit around another pulsar or compact object. However porting the harmonic sum to many-core architectures like GPUs is not a straightforward task. The main problem that must be overcome is the very unfavorable memory access pattern, which gets worse as the dimensionality of the harmonic sum increases. We present a set of algorithms for calculating the harmonic sum that are more suited to many-core architectures such as GPUs. We present an evaluation of the sensitivity of these different approaches, and their performance. This work forms part of the AstroAccelerate project (Armour et al. 2013) which is a GPU accelerated software package for processing time-domain radio astronomy data.
Publication status:
Published
Peer review status:
Reviewed (other)

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Institution:
University of Oxford
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
ORCID:
0000-0003-1756-3064


Publisher:
Astronomical Society of the Pacific
Host title:
Astronomical Data Analysis Software and Systems XXVIII
Journal:
Astronomical Data Analysis Software and Systems XXVIII More from this journal
Volume:
523
Pages:
489-492
Series:
Astronomical Society of the Pacific Conference Series
Publication date:
2019-10-31
Acceptance date:
2018-11-01
ISSN:
1050-3390
ISBN:
9781583819333


Language:
English
Pubs id:
pubs:951520
UUID:
uuid:81fd75b5-5d17-44b8-ae43-81f2f8def1bb
Local pid:
pubs:951520
Source identifiers:
951520
Deposit date:
2018-12-11

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