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dc.contributor.authorWu, Michael
Sun, Yang
Wang, Guohui
Cavallaro, Joseph R. 2012-06-01T14:59:19Z 2012-06-01T14:59:19Z 2011-11-01
dc.description.abstract Turbo code is a computationally intensive channel code that is widely used in current and upcoming wireless standards. General-purpose graphics processor unit (GPGPU) is a programmable commodity processor that achieves high performance computation power by using many simple cores. In this paper, we present a 3GPP LTE compliant Turbo decoder accelerator that takes advantage of the processing power of GPU to offer fast Turbo decoding throughput. Several techniques are used to improve the performance of the decoder. To fully utilize the computational resources on GPU, our decoder can decode multiple codewords simultaneously, divide the workload for a single codeword across multiple cores, and pack multiple codewords to fit the single instruction multiple data (SIMD) instruction width. In addition, we use shared memory judiciously to enable hundreds of concurrent multiple threads while keeping frequently used data local to keep memory access fast. To improve efficiency of the decoder in the high SNR regime, we also present a low complexity early termination scheme based on average extrinsic LLR statistics. Finally, we examine how different workload partitioning choices affect the error correction performance and the decoder throughput.
dc.description.sponsorship Renesas Mobile
dc.description.sponsorship Texas Instruments
dc.description.sponsorship Xilinx
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.publisher Springer
turbo decoder
parallel computing
error control codes
turbo codes
dc.title Implementation of a High Throughput 3GPP Turbo Decoder on GPU
dc.type Journal article
dc.citation.journalTitle Journal of Signal Processing Systems Center for Multimedia Communication
dc.citation.volumeNumber 65
dc.citation.issueNumber 2
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doi 10.1007/s11265-011-0617-7
dc.citation.firstpage 171
dc.citation.lastpage 183
dc.identifier.citation M. Wu, Y. Sun, G. Wang and J. R. Cavallaro, "Implementation of a High Throughput 3GPP Turbo Decoder on GPU," Journal of Signal Processing Systems, vol. 65, no. 2, 2011.

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  • ECE Publications [1089]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [268]
    Publications by Rice Faculty and graduate students in multimedia communications

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