多光谱图像数据通信专用NoC的评价

Linlin Zhang, V. Fresse, Mohammed A. S. Khalid, D. Houzet, M. Ahmadi, A. Legrand, Viktor Fischer
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引用次数: 3

摘要

提出了一种基于自适应架构的高效芯片网络(NoC),用于多光谱图像分析算法的数据通信。在FPGA上的NoC中使用了蝴蝶脂肪树(BFT)拓扑。由于NoC中存在大量大小不一的数据,因此选择了具有瞬时分组交换功能的虚拟信道(Virtual Channels, VC)。本文给出了两个版本的NoC。分析了在Altera StratixII和Xilinx Virtex4上的实现结果。结果表明,所需的资源相似,但Xilinx上的运行频率要比Altera快得多。
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Evaluation of NoC dedicated to multispectral image data communication
An efficient Network on Chip (NoC) is proposed for the data communication of multispectral image analysis algorithms on an adaptive architecture. A Butterfly Fat Tree (BFT) topology is used in this NoC on FPGA. Since there are large amount of data with different sizes in the NoC, Virtual Channels (VC) with flit packet-switching is chosen. Two versions of the NoC are presented in this paper. The results of the implementations on Altera StratixII and Xilinx Virtex4 are analyzed. It is shown that the required resources are similar but the frequency on Xilinx is much faster than on Altera.
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