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dc.contributor.author정기석-
dc.date.accessioned2018-04-15T12:53:56Z-
dc.date.available2018-04-15T12:53:56Z-
dc.date.issued2011-11-
dc.identifier.citationEURASIP Journal on Wireless Communications and Networking, 2011, 2011(1), 172en_US
dc.identifier.issn1687-1472-
dc.identifier.issn1687-1499-
dc.identifier.urihttps://jwcn-eurasipjournals.springeropen.com/articles/10.1186/1687-1499-2011-172-
dc.description.abstractDigital mobile communication technologies, such as next generation mobile communication and mobile TV, are rapidly advancing. Hardware designs to provide baseband processing of new protocol standards are being actively attempted, because of concurrently emerging multiple standards and diverse needs on device functions, hardware-only implementation may have reached a limit. To overcome this challenge, digital communication system designs are adopting software solutions that use central processing units or graphics processing units (GPUs) to implement communication protocols. In this article we propose a parallel software implementation of low density parity check decoding algorithms, and we use a multi-core processor and a GPU to achieve both flexibility and high performance. Specifically, we use OpenMP for parallelizing software on a multi-core processor and Compute Unified Device Architecture (CUDA) for parallel software running on a GPU. We process information on H-matrices using OpenMP pragmas on a multi-core processor and execute decoding algorithms in parallel using CUDA on a GPU. We evaluated the performance of the proposed implementation with respect to two different code rates for the China Multimedia Mobile Broadcasting (CMMB) standard, and we verified that the proposed implementation satisfies the CMMB bandwidth requirement.en_US
dc.description.sponsorshipThis research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2011-C1090-1100-0010).en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectLDPCen_US
dc.subjectdecoderen_US
dc.subjectparallel processingen_US
dc.subjectCUDAen_US
dc.subjectgraphic processing uniten_US
dc.titleParallel LDPC decoding using CUDA and OpenMPen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/1687-1499-2011-172-
dc.relation.page1-1-
dc.relation.journalEURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING-
dc.contributor.googleauthorPark, Joo-Yul-
dc.contributor.googleauthorChung, Ki-Seok-
dc.relation.code2011214685-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.pidkchung-


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