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Efficient GPU and CPU-based LDPC decoders for long codewords

机译：高效的基于GPU和CPU的LDPC解码器用于长码字

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摘要

The next generation DVB-T2, DVB-S2, and DVB-C2 standards for digital television broadcasting specify the use of low-density parity-check (LDPC) codes with codeword lengths of up to 64800 bits. The real-time decoding of these codes on general purpose computing hardware is useful for completely software defined receivers, as well as for testing and simulation purposes. Modern graphics processing units (GPUs) are capable of massively parallel computation, and can in some cases, given carefully designed algorithms, outperform general purpose CPUs (central processing units) by an order of magnitude or more. The main problem in decoding LDPC codes on GPU hardware is that LDPC decoding generates irregular memory accesses, which tend to carry heavy performance penalties (in terms of efficiency) on GPUs. Memory accesses can be efficiently parallelized by decoding several codewords in parallel, as well as by using appropriate data structures. In this article we present the algorithms and data structures used to make log-domain decoding of the long LDPC codes specified by the DVB-T2 standard - at the high data rates required for television broadcasting - possible on a modem GPU. Furthermore, we also describe a similar decoder implemented on a general purpose CPU, and show that high performance LDPC decoders are also possible on modem multi-core CPUs.
机译：用于数字电视广播的下一代DVB-T2，DVB-S2和DVB-C2标准指定使用码字长度最高达64800位的低密度奇偶校验（LDPC）码。这些代码在通用计算硬件上的实时解码对于完全由软件定义的接收器以及测试和仿真目的非常有用。现代图形处理单元（GPU）能够进行大规模并行计算，并且在某些情况下，经过精心设计的算法，其性能可以比通用CPU（中央处理单元）高出一个数量级或更多。在GPU硬件上解码LDPC代码的主要问题是LDPC解码会产生不规则的内存访问，这会在GPU上带来严重的性能损失（就效率而言）。通过并行解码多个码字以及使用适当的数据结构，可以有效地并行化内存访问。在本文中，我们介绍了用于调制解调器GPU上的算法和数据结构，这些算法和数据结构用于对DVB-T2标准指定的长LDPC码进行对数域解码-以电视广播所需的高数据速率-。此外，我们还描述了在通用CPU上实现的类似解码器，并表明高性能LDPC解码器在现代多核CPU上也是可能的。

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