基于GPU张量核的高速并行Viterbi译码器
High-Throughput Parallel Viterbi Decoder on GPU Tensor Cores
摘要：
在GPU平台上实现Vitrerbi解码算法的研究工作很多，因为GPU平台提供了相当大的灵活性，除了良好的性能。最近，现代GPU架构中最近推出的Tensor核心提供了令人难以置信的计算能力。提出了一种基于Tensor核的Viterbi译码算法在现代GPU架构中的并行实现方法。所提出的并行算法进行了优化，以有效地利用张量核的计算能力。实验表明，相当大的吞吐量的改善与以前的作品相比。
英文摘要：
Many research works have been performed on implementation of Vitrerbi decoding algorithm on GPU instead of FPGA because this platform provides considerable flexibility in addition to great performance. Recently, the recently-introduced Tensor cores in modern GPU architectures provide incredible computing capability. This paper proposes a novel parallel implementation of Viterbi decoding algorithm based on Tensor cores in modern GPU architectures. The proposed parallel algorithm is optimized to efficiently utilize the computing power of Tensor cores. Experiments show considerable throughput improvements in comparison with previous works.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
