Real-time, fast radio transient searches with GPU de-dispersion
The identification and subsequent discovery of fast radio transients using blind-search surveys require a large amount of processing power, in worst cases scaling as. For this reason, survey data are generally processed off-line, using high-performance computing architectures or hardware-based desig...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2011
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| _version_ | 1826291033314426880 |
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| author | Magro, A Karastergiou, A Salvini, S Mort, B Dulwich, F Adami, K |
| author_facet | Magro, A Karastergiou, A Salvini, S Mort, B Dulwich, F Adami, K |
| author_sort | Magro, A |
| collection | OXFORD |
| description | The identification and subsequent discovery of fast radio transients using blind-search surveys require a large amount of processing power, in worst cases scaling as. For this reason, survey data are generally processed off-line, using high-performance computing architectures or hardware-based designs. In recent years, graphics processing units (GPUs) have been extensively used for numerical analysis and scientific simulations, especially after the introduction of new high-level application programming interfaces. Here, we show how GPUs can be used for fast transient discovery in real time. We present a solution to the problem of de-dispersion, providing performance comparisons with a typical computing machine and traditional pulsar processing software. We describe the architecture of a real-time, GPU-based transient search machine. In terms of performance, our GPU solution provides a speed-up factor of between 50 and 200, depending on the parameters of the search. © 2011 The Authors Monthly Notices of the Royal Astronomical Society © 2011 RAS. |
| first_indexed | 2024-03-07T02:53:18Z |
| format | Journal article |
| id | oxford-uuid:ae6c4616-c457-441a-a0ed-ca66c81bcfcc |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T02:53:18Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oxford-uuid:ae6c4616-c457-441a-a0ed-ca66c81bcfcc2022-03-27T03:42:25ZReal-time, fast radio transient searches with GPU de-dispersionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ae6c4616-c457-441a-a0ed-ca66c81bcfccEnglishSymplectic Elements at Oxford2011Magro, AKarastergiou, ASalvini, SMort, BDulwich, FAdami, KThe identification and subsequent discovery of fast radio transients using blind-search surveys require a large amount of processing power, in worst cases scaling as. For this reason, survey data are generally processed off-line, using high-performance computing architectures or hardware-based designs. In recent years, graphics processing units (GPUs) have been extensively used for numerical analysis and scientific simulations, especially after the introduction of new high-level application programming interfaces. Here, we show how GPUs can be used for fast transient discovery in real time. We present a solution to the problem of de-dispersion, providing performance comparisons with a typical computing machine and traditional pulsar processing software. We describe the architecture of a real-time, GPU-based transient search machine. In terms of performance, our GPU solution provides a speed-up factor of between 50 and 200, depending on the parameters of the search. © 2011 The Authors Monthly Notices of the Royal Astronomical Society © 2011 RAS. |
| spellingShingle | Magro, A Karastergiou, A Salvini, S Mort, B Dulwich, F Adami, K Real-time, fast radio transient searches with GPU de-dispersion |
| title | Real-time, fast radio transient searches with GPU de-dispersion |
| title_full | Real-time, fast radio transient searches with GPU de-dispersion |
| title_fullStr | Real-time, fast radio transient searches with GPU de-dispersion |
| title_full_unstemmed | Real-time, fast radio transient searches with GPU de-dispersion |
| title_short | Real-time, fast radio transient searches with GPU de-dispersion |
| title_sort | real time fast radio transient searches with gpu de dispersion |
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