计算机科学 ›› 2020, Vol. 47 ›› Issue (4): 312-317.doi: 10.11896/jsjkx.190300104
陈孟东, 郭东升, 谢向辉, 吴东
CHEN Meng-dong, GUO Dong-sheng, XIE Xiang-hui, WU Dong
摘要： 对于身份认证机制中的安全字符串恢复,字典结合变换规则是一种常用的方法。通过变换规则的处理,可以快速生成大量具有针对性的新字符串供验证使用。但是,规则的处理过程复杂,对处理性能、系统功耗等有很高的要求,现有的工具和研究都是基于软件方式进行处理,难以满足实际恢复系统的需求。为此,文中提出了基于异构计算平台的规则处理器技术,首次使用可重构FPGA硬件加速规则的处理过程,同时使用ARM通用计算核心进行规则处理过程的配置、管理、监控等工作,并在Xilinx Zynq XC7Z030芯片上进行了具体实现。实验结果表明,在典型情况下,该混合架构的规则处理器相比于单纯使用ARM通用计算核心,性能提升了214倍,规则处理器的运行性能优于Intel i7-6700 CPU,性能功耗比相比NVIDIA GeForce GTX 1080 Ti GPU有1.4~2.1倍的提升,相比CPU有70倍的提升,有效提升了规则处理的速率和能效。实验数据充分说明,基于异构计算平台,采用硬件加速的规则处理器有效解决了规则处理中的速率和能效问题,可以满足实际工程需求,为整个安全字符串恢复系统的设计奠定了基础。
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