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A Hierarchical Scrubbing Technique for SEU Mitigation on SRAM-Based FPGAs

机译:基于SRAM的FPGA的SEU缓解的层次擦洗技术

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The SRAM-based field-programmable gate array (FPGA) is extremely susceptible to single event upsets (SEUs) on configuration memory which can lead to soft error and malfunction of the circuit. Facing the ever-growing number of configuration bits in modern FPGAs, traditional scrubbing is getting harder to find errors in time, resulting in mismatching between the SEU sensitivity and scrubbing performance. This article proposes a hierarchical scrubbing technique that makes full use of the SEU sensitivity based on the adaptive mean time to detect (MTTD) for each frame. It distinguishes the configuration frames with multipriority and uses different scrubbing methods for different priorities. Also, a model has been built for solving the MTTD allocating problem and enabling an effective scrubbing when SEU occurrence. Moreover, the corresponding hardware architecture is supported and the fault injection-based evaluation on a Xilinx Kintex-7 FPGA is done. The result shows that it can improve mean upsets to failure from 1.56 x to 146.93x, which is proportional to the mean time to failure (MTTF) improvement.
机译:基于SRAM的现场可编程门阵列(FPGA)非常容易对配置存储器的单个事件UPSET(SEU)对,这可能导致电路的软误差和故障。在现代FPGA中面对越来越多的配置位,传统的擦洗是越来越难以在时间内找到错误,导致SEU​​敏感性和擦洗性能之间不匹配。本文提出了一种分层擦洗技术,该技术基于对每个帧检测(MTTD)的自适应平均时间来充分利用SEU灵敏度。它将配置帧与多流程区分开,并使用不同的擦洗方法进行不同的优先级。此外,已经建立了一个模型,用于解决MTTD分配问题,并在SEU发生时有效擦洗。此外,支持相应的硬件架构,并完成对Xilinx Kintex-7 FPGA的基于故障注射的评估。结果表明,它可以从1.56 x到146.93x发生故障的平均upsets,这与平均故障时间(mttf)改进成比例。

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