The GPU as a digital signal processing accelerator for cloud RAN is investigated. A new design for a 5G NR low density parity check code decoder running on a GPU is presented. The algorithm is flexibly adaptable to GPU architecture to achieve high resource utilization as well as low latency. It improves over an existing layered design that processes additional codewords in parallel to increase utilization. In comparison to a decoder implemented on a FPGA (757K gate), the new GPU (24 core) decoder has 3X higher throughput. The GPU decoder exhibits 3 to 5X lower decoding power efficiency, as typical of a general-purpose processor. Thus, GPUs may find application as cloud accelerators where rapid deployment and flexibility are prioritized over decoding power efficiency.

中文翻译：

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用于 Cloud RAN 的快速 LDPC GPU 解码器

研究了 GPU 作为云 RAN 的数字信号处理加速器。介绍了一种在 GPU 上运行的 5G NR 低密度奇偶校验码解码器的新设计。该算法灵活适应GPU架构，实现高资源利用率和低延迟。它改进了现有的分层设计，并行处理额外的码字以提高利用率。与在 FPGA（757K 门）上实现的解码器相比，新的 GPU（24 核）解码器的吞吐量提高了 3 倍。GPU 解码器的解码功率效率降低了 3 到 5 倍，这是通用处理器的典型特征。因此，GPU 可以用作云加速器，其中快速部署和灵活性优先于解码功率效率。