Real-time, fast radio transient searches with GPU de-dispersion
The identification, and subsequent discovery, of fast radio transients through blind-search surveys requires a large amount of processing power, in worst cases scaling as $\mathcal{O}(N^3)$. For this reason, survey data are generally processed offline, using high-performance computing architectures...
| Main Authors: | , , , , , |
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| Format: | Journal article |
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2011
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| _version_ | 1826260147274514432 |
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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 through blind-search surveys requires a large amount of processing power, in worst cases scaling as $\mathcal{O}(N^3)$. For this reason, survey data are generally processed offline, using high-performance computing architectures or hardware-based designs. In recent years, graphics processing units 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. |
| first_indexed | 2024-03-06T19:01:01Z |
| format | Journal article |
| id | oxford-uuid:1388fb79-aa29-4a9c-be93-6c0ea0055c28 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T19:01:01Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oxford-uuid:1388fb79-aa29-4a9c-be93-6c0ea0055c282022-03-26T10:14:24ZReal-time, fast radio transient searches with GPU de-dispersionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:1388fb79-aa29-4a9c-be93-6c0ea0055c28Symplectic Elements at Oxford2011Magro, AKarastergiou, ASalvini, SMort, BDulwich, FAdami, KThe identification, and subsequent discovery, of fast radio transients through blind-search surveys requires a large amount of processing power, in worst cases scaling as $\mathcal{O}(N^3)$. For this reason, survey data are generally processed offline, using high-performance computing architectures or hardware-based designs. In recent years, graphics processing units 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. |
| 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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