Design of Polyphase Channelization Algorithm Based on CUDA Stream Architecture

Chen Yongqiang, Hong Ma, Jiao Yiwen, Hongjie Dang
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Abstract

In order to improve the reconfigurability and computing efficiency of the polyphase channelization system, a new algorithm based on CUDA stream architecture was designed and optimized. Firstly, the principle of parallel channelization algorithm without blind zones is introduced. Then, various resource constraints under CUDA architecture and the relationship between the operating efficiency and parameters of the CUDA kernel under these constraints are analysed. The implementation structure of polyphase channelization algorithm is designed. Finally, NVIDIA GPU is used to implement and test the polyphase channelization algorithm based on CUDA stream. The result proves that the computational efficiency of the structure designed in this paper meets the real-time requirements, and can get about 10% efficiency improvement compared with the traditional algorithm.
基于CUDA流架构的多相信道化算法设计
为了提高多相信道化系统的可重构性和计算效率,设计并优化了一种基于CUDA流架构的多相信道化算法。首先,介绍了无盲区并行信道化算法的原理。然后,分析了CUDA架构下的各种资源约束,以及这些约束下CUDA内核运行效率与参数之间的关系。设计了多相信道化算法的实现结构。最后,利用NVIDIA GPU对基于CUDA流的多相信道化算法进行了实现和测试。结果表明,本文设计的结构计算效率满足实时性要求,与传统算法相比,计算效率可提高10%左右。
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