通信基带信号处理中可重构数据路径的设计与优化

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI:10.1109/CYBERC.2018.00090

Shanhong Zhu, Hai Qin, Bo Liu, Jun Yang

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引用次数: 1

摘要

本文提出了一种用于通信基带信号处理的粗粒度可重构架构RASP2.0。基于管道气泡理论，将可重构数据路径分为处理单元之间的数据流和可重构阵列与存储结构之间的数据交互。为了减少数据传输延迟，根据数据的局域性和生存期对数据流特征进行了总结。通过采用并行存储结构和基于dlt的数据更新策略，访问性能比RASP1.0平均提高33%。因此，与其他同类平台相比，该可重构系统具有更多的性能优势和灵活性。

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Design and Optimization of Reconfigurable Data Path for Communication Baseband Signal Processing

A Coarse-Grained Reconfigurable Architecture called RASP2.0 is proposed in this paper for communication baseband signal processing. Based on the pipeline bubbles theory, the reconfigurable data path is divided into the data flow between processing elements and the data interaction between reconfigurable arrays and memory structure. To reduce the data transmission delay, the data flow features are summarized based on the locality and lifetime of data. By employing a parallel memory structure combined with the DLT-based data updating strategy, the access performance is improved by 33% on average compared with RASP1.0. As a result, the reconfigurable system presents more performance advantages and flexibility than other similar platforms.

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2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)

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