Parallel Algorithmic Optimization and Achievement for LDPC Encoding and Decoding on CUDA Platform

With the development of mobile Internet applications, the fourth generation mobile communication (4G) has been widely used, low-density parity-check (LDPC) codes have gradually become the first choice for 4G communication because of its superior performance. For the short of traditional encoding and...

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Vydáno v:	2015 International Conference on Computational Science and Computational Intelligence (CSCI) s. 632 - 636
Hlavní autoři:	Liu Zhen, Wang Yunpei, Lu Lulu
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.12.2015
Témata:	Algorithm design and analysis Channel coding Decoding Graphics processing units LDPC codes; encoding algorithm; BP algorithm; parallelization Parity check codes Probability
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Shrnutí:	With the development of mobile Internet applications, the fourth generation mobile communication (4G) has been widely used, low-density parity-check (LDPC) codes have gradually become the first choice for 4G communication because of its superior performance. For the short of traditional encoding and belief propagation (BP) decoding algorithm, this paper adopts a method of parallel processing for LDPC encoding and decoding which is finally realized on the mobile terminal. On the CUDA platform, CPU scheduling and GPU parallelization are used to process a large number of repeated operations so that parallel encoding algorithm and heterogeneous parallel BP algorithm are achieved and the efficiency is significantly improved.
DOI:	10.1109/CSCI.2015.189