Enabling a High Throughput Real Time Data Pipeline for a Large Radio Telescope Array with GPUs

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Enabling a High Throughput Real Time Data Pipeline for a Large Radio Telescope Array with GPUs

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dc.contributor.author Pfister, Hanspeter
dc.contributor.author Edgar, Richard G
dc.contributor.author Mitchell, Daniel A
dc.contributor.author Ord, Stephen M
dc.contributor.author Greenhill, Lincoln J.
dc.contributor.author Clark, Michael A.
dc.contributor.author Dale, Kevin
dc.contributor.author Wayth, Randall B.
dc.date.accessioned 2011-11-10T20:00:38Z
dc.date.issued 2010
dc.identifier.citation Edgara, Richard G., Michael A. Clark, Kevin Dale, Daniel A. Mitchell, Stephen M. Ord, Randall B. Wayth, Hanspeter Pfister, and Lincoln J. Greenhill. 2010. Enabling a high throughput real time data pipeline for a large radio telescope array with GPUs. Computer Physics Communications 181(10): 1707-1714. en_US
dc.identifier.issn 0010-4655 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:5344187
dc.description.abstract The Murchison Widefield Array (MWA) is a next-generation radio telescope currently under construction in the remote Western Australia Outback. Raw data will be generated continuously at 5 GiB s\(^{−1}\), grouped into 8 s cadences. This high throughput motivates the development of on-site, real time processing and reduction in preference to archiving, transport and off-line processing. Each batch of 8 s data must be completely reduced before the next batch arrives. Maintaining real time operation will require a sustained performance of around 2.5 TFLOP s\(^{−1}\) (including convolutions, FFTs, interpolations and matrix multiplications). We describe a scalable heterogeneous computing pipeline implementation, exploiting both the high computing density and FLOP-per-Watt ratio of modern GPUs. The architecture is highly parallel within and across nodes, with all major processing elements performed by GPUs. Necessary scatter-gather operations along the pipeline are loosely synchronized between the nodes hosting the GPUs. The MWA will be a frontier scientific instrument and a pathfinder for planned peta- and exascale facilities. en_US
dc.description.sponsorship Engineering and Applied Sciences en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.relation.isversionof doi:10.1016/j.cpc.2010.06.019 en_US
dc.relation.hasversion http://gvi.seas.harvard.edu/sites/all/files/CPC_2010.pdf en_US
dash.license OAP
dc.subject radio telescopes and instrumentation en_US
dc.subject heterodyne receivers en_US
dc.subject mathematical procedures and computer techniques en_US
dc.subject computer science and technology en_US
dc.title Enabling a High Throughput Real Time Data Pipeline for a Large Radio Telescope Array with GPUs en_US
dc.type Journal Article en_US
dc.description.version Accepted Manuscript en_US
dc.relation.journal Computer Physics Communications en_US
dash.depositing.author Pfister, Hanspeter
dc.date.available 2011-11-10T20:00:38Z
dash.affiliation.other Initiative in Innovative Computing en_US

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