论文标题
GPU上的卷积代码的高通量和记忆效率的平行Viterbi解码器
High-Throughput and Memory-Efficient Parallel Viterbi Decoder for Convolutional Codes on GPU
论文作者
论文摘要
本文描述了Viterbi解码算法的并行实现。 Viterbi解码器广泛用于许多最先进的无线系统。提出的解决方案通过应用优化（例如统一内核实现和并行追溯）来优化吞吐量和内存使用。实验评估表明，与以前的GPU加速溶液相比，所提出的溶液的吞吐量更高。
This paper describes a parallel implementation of Viterbi decoding algorithm. Viterbi decoder is widely used in many state-of-the-art wireless systems. The proposed solution optimizes both throughput and memory usage by applying optimizations such as unified kernel implementation and parallel traceback. Experimental evaluations show that the proposed solution achieves higher throughput compared to previous GPU-accelerated solutions.
