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Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/8048
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dc.contributor.authorAafreen, R.-
dc.contributor.authorAbhishek, R.-
dc.contributor.authorAjithkumar, B.-
dc.contributor.authorVaidyanathan, Arunkumar M.-
dc.contributor.authorBarve, Indrajit V.-
dc.contributor.authorBhattramakki, Sahana-
dc.contributor.authorBhat, Shashank-
dc.contributor.authorGirish, B.S.-
dc.contributor.authorGhalame, Atul-
dc.contributor.authorGupta, Y.-
dc.contributor.authorHayatnagarkar, Harshal G.-
dc.contributor.authorKamini, P.A.-
dc.contributor.authorKarastergiou, A.-
dc.contributor.authorLevin, L.-
dc.contributor.authorMadhavi, S.-
dc.contributor.authorMekhala, M.-
dc.contributor.authorMickaliger, M.-
dc.contributor.authorMugundhan, V.-
dc.contributor.authorNaidu, Arun-
dc.contributor.authorOppermann, J.-
dc.contributor.authorArul Pandian, B.-
dc.contributor.authorPatra, N.-
dc.contributor.authorRaghunathan, A.-
dc.contributor.authorRoy, Jayanta-
dc.contributor.authorSethi, Shiv-
dc.contributor.authorShaw, B.-
dc.contributor.authorSherwin, K.-
dc.contributor.authorSinnen, O.-
dc.contributor.authorSinha, S.K.-
dc.contributor.authorSrivani, K.S.-
dc.contributor.authorStappers, B.-
dc.contributor.authorSubrahmanya, C.R.-
dc.contributor.authorPrabu, Thiagaraj-
dc.contributor.authorVinutha, C.-
dc.contributor.authorWadadekar, Y.G.-
dc.contributor.authorWang, Haomiao-
dc.contributor.authorWilliams, C.-
dc.date.accessioned2023-02-20T11:14:19Z-
dc.date.available2023-02-20T11:14:19Z-
dc.date.issued2023-02-09-
dc.identifier.citationJournal of Astrophysics and Astronomy, 2023, Vol.11, p11en_US
dc.identifier.issn0250-6335-
dc.identifier.issn0973-7758 (Online)-
dc.identifier.urihttp://hdl.handle.net/2289/8048-
dc.descriptionOpen Accessen_US
dc.description.abstractThis paper presents high-performance computing efforts with FPGA for the accelerated pulsar/transient search for the square kilometre array (SKA). Case studies are presented from within SKA and pathfinder telescopes highlighting future opportunities. It reviews the scenario that has shifted from offline processing of the radio telescope data to digitizing several hundreds/thousands of antenna outputs over huge bandwidths, forming several hundreds of beams, and processing the data in the SKA real-time pulsar search pipelines. A brief account of the different architectures of the accelerators, primarily, the new generation field programmable gate array-based accelerators, showing their critical roles to achieve high-performance computing and in handling the enormous data volume problems of the SKA is presented here. It also presents power-performance efficiency of this emerging technology and presents potential future scenarios.en_US
dc.language.isoenen_US
dc.publisherIndian Academy of Sciencesen_US
dc.relation.urihttps://arxiv.org/abs/2207.07054en_US
dc.relation.urihttps://ui.adsabs.harvard.edu/abs/2022arXiv220707054A/abstracten_US
dc.rights2023 Indian Academy of Sciences, Bengaluruen_US
dc.subjectinstrumentation and methods for astrophysicsen_US
dc.titleHigh-performance computing for SKA transient search: Use of FPGA-based acceleratorsen_US
dc.typeArticleen_US
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