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 |
dc.identifier.doi | 10.1016/j.cpc.2010.06.019 | * |
dash.authorsordered | false | |
dash.contributor.affiliated | Mitchell, Daniel | |
dash.contributor.affiliated | Edgar, Richard G | |
dash.contributor.affiliated | Clark, Michael A. | |
dash.contributor.affiliated | Ord, Stephen | |
dash.contributor.affiliated | Greenhill, Lincoln | |
dash.contributor.affiliated | Pfister, Hanspeter | |