最大化全并行低密度奇偶校验解码的吞吐量面积效率与C-slow重定时和异步深管道

Ming Su, Lili Zhou, C. Shi
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引用次数: 10

摘要

在本文中,我们使用C-slow重定时和异步深管道来最大化全并行低密度奇偶校验(LDPC)译码的吞吐量效率。流水线解码器在0.18 μ m FDSOI CMOS工艺中实现。实验结果表明,我们的流水线技术是一种有效的方法,可以最大限度地提高LDPC解码吞吐量,同时最小化面积消耗。首先,流水线解码器可以实现非流水线设计无法实现的高吞吐量。其次,对于相同的吞吐量,流水线解码器比非流水线设计使用更少的面积。我们的方法可以将发布实现的吞吐量提高4倍,而面积开销仅为80%左右。在不使用时钟的情况下,与现有的基于时钟的LDPC解码器相比,所提出的异步流水线解码器在设计复杂性上更具可扩展性,并且对处理电压温度变化的鲁棒性更强。
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Maximizing the throughput-area efficiency of fully-parallel low-density parity-check decoding with C-slow retiming and asynchronous deep pipelining
In this paper, we apply C-slow retiming and asynchronous deep pipelining to maximize the throughput-area efficiency of fully parallel low-density-parity-check (LDPC) decoding. Pipelined decoders are implemented in a 0.18 mum FDSOI CMOS process. Experimental results show that our pipelining technique is an efficient approach to maximizing LDPC decoding throughput while minimizing the area consumption. First, pipelined decoders can achieve extraordinary high throughput which non-pipelined design cannot. Second, for the same throughput, pipelined decoders use less area than non-pipelined design. Our approach can improve the throughput of a published implementation by 4 times with only about 80% area overhead. Without using clocks, proposed asynchronous pipelined decoders are more scalable in design complexity and more robust to process-voltage-temperature variations than existing clock-based LDPC decoders.
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