GPU Accelerated Scalable Parallel Decoding of LDPC Codes

Simple item page
dc.citation.conferenceDate2011en_US
dc.citation.conferenceName2011 IEEE Asilomar Conference on Signals, Systems, and Computersen_US
dc.citation.firstpage2053
dc.citation.lastpage2057
dc.citation.locationPacific Grove, CAen_US
dc.contributor.authorWang, Guohui
dc.contributor.authorWu, Michael
dc.contributor.authorSun, Yang
dc.contributor.orgCenter for Multimedia Communicationen_US
dc.date.accessioned2012-07-03T16:02:02Z
dc.date.available2012-07-03T16:02:02Z
dc.date.issued2011-11-01eng
dc.description.abstractThis paper proposes a flexible low-density parity-check (LDPC) decoder which leverages graphic processor units (GPU) to provide high decoding throughput. LDPC codes are widely adopted by the new emerging standards for wireless communication systems and storage applications due to their near-capacity error correcting performance. To achieve high decoding throughput on GPU, we leverage the parallelism embedded in the check-node computation and variable-node computation and propose a parallel strategy of partitioning the decoding jobs among multi-processors in GPU. In addition, we propose a scalable multi-codeword decoding scheme to fully utilize the computation resources of GPU. Furthermore, we developed a novel adaptive performance-tuning method to make our decoder implementation more flexible and scalable. The experimental results show that our LDPC decoder is scalable and flexible, and the adaptive performance-tuning method can deliver the peak performance based on the GPU architecture.en_US
dc.description.sponsorshipRenesas Mobileen_US
dc.description.sponsorshipSamsungen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationG. Wang, M. Wu and Y. Sun, "GPU Accelerated Scalable Parallel Decoding of LDPC Codes," 2011.*
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.2011.6190388en_US
dc.identifier.urihttps://hdl.handle.net/1911/64358
dc.language.isoengen
dc.publisherIEEEen_US
dc.subjectGPGPUen_US
dc.subjectparallel LDPC decoderen_US
dc.subjectreconfigurable and scalable algorithmsen_US
dc.subjectadaptive performance-tuningen_US
dc.titleGPU Accelerated Scalable Parallel Decoding of LDPC Codesen_US
dc.typeConference paperen_US
dc.type.dcmiTexten
dc.type.dcmiTexten_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2011_Asilomar_Wang.pdf
Size:
596.28 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
ECE Publications
Rice Wireless