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https://doi.org/10.1109/ccwc.2...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Multi-Stream LDPC Decoder on GPU of Mobile Devices

Authors: Amiri, Roohollah; Mehrpouyan, Hani;

Multi-Stream LDPC Decoder on GPU of Mobile Devices

Abstract

Low-density parity check (LDPC) codes have been extensively applied in mobile communication systems due to their excellent error correcting capabilities. However, their broad adoption has been hindered by the high complexity of the LDPC decoder. Although to date, dedicated hardware has been used to implement low latency LDPC decoders, recent advancements in the architecture of mobile processors have made it possible to develop software solutions. In this paper, we propose a multi-stream LDPC decoder designed for a mobile device. The proposed decoder uses graphics processing unit (GPU) of a mobile device to achieve efficient real-time decoding. The proposed solution is implemented on an NVIDIA Tegra board as a system on a chip (SoC), where our results indicate that we can control the load on the central processing units through the multi-stream structure.

6 pages, 7 figures, 2019 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)

Keywords

FOS: Computer and information sciences, GPU processing, Computer Science - Distributed, Parallel, and Cluster Computing, parallel and distributed algorithms, multiprocessor architectures, LDPC decoder, Distributed, Parallel, and Cluster Computing (cs.DC), Electrical and Computer Engineering, 620, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green