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dc.contributor.authorFjeldtvedt, Johan Austlid
dc.contributor.authorOrlandic, Milica
dc.date.accessioned2019-03-18T08:13:08Z
dc.date.available2019-03-18T08:13:08Z
dc.date.created2019-01-04T09:42:37Z
dc.date.issued2018
dc.identifier.citationMicroprocessors and microsystems. 2018, 65 .nb_NO
dc.identifier.issn0141-9331
dc.identifier.urihttp://hdl.handle.net/11250/2590373
dc.description.abstractOnboard computing is one of the principal needs in space-related technology in the recent years. In particular, onboard hyperspectral imaging (HSI) processing has advanced significantly. Due to advances in sensor technology, onboard HSI processing continuously meets new challenges related to increasing dataset size, limited processing time and limited communication links. High throughput and data reduction are crucial for satisfying real-time constraint and for preserving transmission bandwidth. For systems capable of accommodating a wide range of processing algorithms, there is a need for a flexible communication infrastructure that can provide fast access to/from memory in different access patterns. In this paper, existing FPGA-related Direct Memory Access (DMA) solutions have been evaluated, and a new DMA solution tailored for hyperspectral images has been proposed. Results show that the proposed DMA core, CubeDMA, handles targeted memory access patterns in more efficient manner than existing solutions while being resource efficient.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleCubeDMA-Optimizing Three-Dimensional DMA transfers for Hyperspectral Imaging Applicationsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber14nb_NO
dc.source.volume65nb_NO
dc.source.journalMicroprocessors and microsystemsnb_NO
dc.identifier.doi10.1016/j.micpro.2018.12.009
dc.identifier.cristin1650127
dc.description.localcode© 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 27 December 2020 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,63,35,0
cristin.unitnameInstitutt for elektroniske systemer
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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