| Files | Size | Format | View |
|---|---|---|---|
| 2012_Asilomar_GPU_NBLDPC_Wang.pdf | 1.676Mb | application/pdf |
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| dc.contributor.author | Wang, Guohui Shen, Hao Yin, Bei Wu, Michael Sun, Yang Cavallaro, Joseph R. |
|---|---|
| dc.date.accessioned | 2012-12-05T16:04:28Z |
| dc.date.available | 2012-12-05T16:04:28Z |
| dc.date.issued | 2012-12-01 |
| dc.identifier.uri | http://hdl.handle.net/1911/68437 |
| dc.description.abstract | Nonbinary Low-Density Parity-Check (LDPC) codes are a class of error-correcting codes constructed over the Galois field GF(q) for q > 2. As extensions of binary LDPC codes, nonbinary LDPC codes can provide better error-correcting performance when the code length is short or moderate, but at a cost of higher decoding complexity. This paper proposes a massively parallel implementation of a nonbinary LDPC decoding accelerator based on a graphics processing unit (GPU) to achieve both great flexibility and scalability. The implementation maps the Min-Max decoding algorithm to GPU’s massively parallel architecture. We highlight the methodology to partition the decoding task to a heterogeneous platform consisting of the CPU and GPU. The experimental results show that our GPUbased implementation can achieve high throughput while still providing great flexibility and scalability. |
| dc.description.sponsorship | National Science Foundation (NSF) |
| dc.publisher | IEEE | dc.subject | GPU OpenCL nonbinary LDPC error correcting codes parallel architecture |
| dc.title | Parallel Nonbinary LDPC Decoding on GPU |
| dc.type | Conference Paper |
| dc.citation.location | Pacific Grove, GA |
| dc.citation.conferenceName | 2012 IEEE Asilomar Conference on Signals, Systems, and Computers |
| dc.citation.conferenceDate | 2012 |
| dc.identifier.citation | G. Wang, H. Shen, B. Yin, M. Wu, Y. Sun and J. R. Cavallaro,"Parallel Nonbinary LDPC Decoding on GPU," in 2012 IEEE Asilomar Conference on Signals, Systems, and Computers, 2012 |