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Scalable processor core for high-speed pattern matching architecture on FPGA

机译:用于FPGA的高速模式匹配架构的可扩展处理器核心

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In recent pattern matching architecture researches, there has been much attention to high-throughput implementations with reconfiguration on the fly on FPGAs as well as ASICs. In this paper, we propose to use self-organizing approach to synthesize two-dimensional map (cluster) of a simple processing units with lateral links for fast pattern matching of one-dimensional input event. We suggest scalable processor core with heterogeneous cluster architecture. Experimental results show that the proposed architecture has advantages over the previously developed architectures in the terms of operating frequency, time delay and data bandwidth. For state-of-the-art FPGA we achieve operating frequency 600-500 MHz for the processor core with single cluster (input pattern of 8-512 bits, rule set of 64 bits), 490-440 MHz for the processor core with multiple clusters (rule set of 128 - 4096 bits, input pattern of 512 bits). Each cluster is characterized by low pipeline time delay of 3 ~ 5 clock cycles.
机译:在最近的模式匹配架构研究中,在FPGAS和ASIC上的飞行中重新配置有很多关注高吞吐量实现。在本文中,我们建议使用自组织方法来合成简单处理单元的二维映射(群集),以便与一维输入事件的快速模式匹配的横向链路进行横向链路。我们建议具有异构集群架构的可扩展处理器核心。实验结果表明,拟议的架构在以前在工作频率,时间延迟和数据带宽方面具有先前开发的架构的优势。对于最先进的FPGA,我们使用单簇(输入模式为8-512位,规则集64位),490-440 MHz,用于处理器核心的处理器核心的工作频率为600-500 MHz群集(规则集128 - 4096位,输入模式为512位)。每个群集的特征在于3〜5个时钟周期的低管线时间延迟。

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