Implementation of a 3GPP LTE Turbo Decoder Accelerator on GPU

dc.citation.conferenceDate2010en_US
dc.citation.conferenceNameIEEE Workshop on Signal Processing Systems (SiPS)en_US
dc.citation.firstpage192en_US
dc.citation.lastpage197en_US
dc.citation.locationSan Francisco, CAen_US
dc.contributor.authorWu, Michaelen_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.orgCenter for Multimedia Communicationen_US
dc.date.accessioned2012-06-08T15:45:37Zen_US
dc.date.available2012-06-08T15:45:37Zen_US
dc.date.issued2010-10-01en_US
dc.description.abstractThis paper presents a 3GPP LTE compliant turbo decoder accelerator on GPU. The challenge of implementing a turbo decoder is finding an efficient mapping of the decoder algorithm on GPU, e.g. finding a good way to parallelize workload across cores and allocate and use fast on-die memory to improve throughput. In our implementation, we increase throughput through 1) distributing the decoding workload for a codeword across multiple cores, 2) decoding multiple codewords simultaneously to increase concurrency and 3) employing memory optimization techniques to reduce memory bandwidth requirements. In addition, we analyze how different MAP algorithm approximations affect both throughput and bit error rate (BER) performance of this decoder.en_US
dc.identifier.citationM. Wu and J. R. Cavallaro, "Implementation of a 3GPP LTE Turbo Decoder Accelerator on GPU," 2010.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/SIPS.2010.5624788en_US
dc.identifier.otherhttp://scholar.google.com/scholar?cluster=10533176528430447915&hl=en&as_sdt=0,44&as_vis=1en_US
dc.identifier.otherhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5624788&tag=1en_US
dc.identifier.urihttps://hdl.handle.net/1911/64233en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subject3GPP LTEen_US
dc.subjectTurbo decoderen_US
dc.subjectGPUen_US
dc.subjectBERen_US
dc.titleImplementation of a 3GPP LTE Turbo Decoder Accelerator on GPUen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
dc.type.dcmiTexten_US
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