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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Veröffentlicht in:2015 International Conference on Computational Science and Computational Intelligence (CSCI) S. 632 - 636
Hauptverfasser: Liu Zhen, Wang Yunpei, Lu Lulu
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2015
Schlagworte:
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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Zusammenfassung: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