Accelerating -ary Sliding-Window Belief Propagation Algorithm with GPU

Bowei Shan; Sihua Chen; Yong Fang

IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings

Research Article

Accelerating -ary Sliding-Window Belief Propagation Algorithm with GPU

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@INPROCEEDINGS{10.1007/978-3-030-44751-9_1,
    author={Bowei Shan and Sihua Chen and Yong Fang},
    title={Accelerating -ary Sliding-Window Belief Propagation Algorithm with GPU},
    proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings},
    proceedings_a={IOTAAS},
    year={2020},
    month={6},
    keywords={SWBP LDPC GPU MATLAB},
    doi={10.1007/978-3-030-44751-9_1}
}

Bowei Shan
Sihua Chen
Yong Fang
Year: 2020
Accelerating -ary Sliding-Window Belief Propagation Algorithm with GPU
IOTAAS
Springer
DOI: 10.1007/978-3-030-44751-9_1

Bowei Shan¹^,*, Sihua Chen¹^,*, Yong Fang¹^,*

1: Chang’an University

*Contact email: bwshan@chd.edu.cn, 1543275321@qq.com, fy@chd.edu.cn

Abstract

In this paper, we present a parallel Sliding-Window Belief Propagation algorithm to decode -ary Low-Density-Parity-Codes. The bottlenecks of sequential algorithm are carefully investigated. We use MATLAB platform to develop the parallel algorithm and run these bottlenecks simultaneously on thousands of threads of GPU. The experiment results show that our parallel algorithm achieves 2.3 to 30.3 speedup ratio than sequential algorithm.

Keywords: SWBP LDPC GPU MATLAB

Published: 2020-06-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-44751-9_1