Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
KSII Transactions on Internet and Information Systems 10(6):2648-2668, 2016
@article{hong2016parallel,
title={Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL},
author={Hong, Jung-Hyun and Park, Joo-Yul and Chung, Ki-Seok},
journal={KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS},
volume={10},
number={6},
pages={2648–2668},
year={2016},
publisher={KSII-KOR SOC INTERNET INFORMATION KOR SCI & TECHNOL CTR, 409 ON 4TH FLR, MAIN BLDG, 635-4 YEOKSAM 1-DONG, GANGNAM-GU, SEOUL 00000, SOUTH KOREA}
}
Modern mobile devices are equipped with various accelerated processing units to handle computationally intensive applications; therefore, Open Computing Language (OpenCL) has been proposed to fully take advantage of the computational power in heterogeneous systems. This article introduces a parallel software decoder of Low Density Parity Check (LDPC) codes on an embedded heterogeneous platform using an OpenCL framework. The LDPC code is one of the most popular and strongest error correcting codes for mobile communication systems. Each step of LDPC decoding has different parallelization characteristics. In the proposed LDPC decoder, steps suitable for task-level parallelization are executed on the multi-core central processing unit (CPU), and steps suitable for data-level parallelization are processed by the graphics processing unit (GPU). To improve the performance of OpenCL kernels for LDPC decoding operations, explicit thread scheduling, vectorization, and effective data transfer techniques are applied. The proposed LDPC decoder achieves high performance and high power efficiency by using heterogeneous multi-core processors on a unified computing framework.
August 11, 2016 by hgpu
