Parallelizing LDPC Decoding Using OpenMP on Multicore Digital Signal Processors

One attractive solution to long simulation time of LDPC codes is to implement inherently parallel decoding algorithms using multicore platforms. In this paper, we present the first OpenMP parallel implementation of LDPC decoding algorithm on a multicore DSP architecture and report its performance. P...

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Vydáno v:Proceedings of the International Conference on Parallel Processing s. 46 - 51
Hlavní autoři: Sever, Murat, Cavus, Enver
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2016
Témata:
channel coding
Decoding
Digital signal processing
DSP
error detection and correction
Iterative decoding
LDPC
Message systems
multicore
Multicore processing
OpenMP
parallelization
Random access memory
ISSN:2332-5690
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Shrnutí:One attractive solution to long simulation time of LDPC codes is to implement inherently parallel decoding algorithms using multicore platforms. In this paper, we present the first OpenMP parallel implementation of LDPC decoding algorithm on a multicore DSP architecture and report its performance. Parallelized Normalized Min-Sum decoding algorithm is implemented on 8-core Texas Instruments (TI) DSP using OpenMP framework. Performance results are obtained by Unified Instrumentation Architecture (UIA). Our results show that the parallelized decoding on 8-core TI DSP achieves more than 6x speedup compared to single-core version.
ISSN:2332-5690
DOI:10.1109/ICPPW.2016.22