SRAM-Based FPGA SEU Fault Propagation Model

WU Shan; ZHOU Xue-gong; WANG Ling-li

doi:10.3969/j.issn.0372-2112.2017.08.024

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SRAM-Based FPGA SEU Fault Propagation Model

更新时间：2025-07-16

- SRAM-Based FPGA SEU Fault Propagation Model
- Acta Electronica Sinica Vol. 45, Issue 8, Pages: 1976-1984(2017)
- 作者机构：
  
  复旦大学专用集成电路与系统国家重点实验室,上海,201203
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61131001)
- DOI：10.3969/j.issn.0372-2112.2017.08.024
  CLC： TN47
- Published：2017
- 稿件说明：
移动端阅览
WU Shan, ZHOU Xue-gong, WANG Ling-li. SRAM-Based FPGA SEU Fault Propagation Model[J]. Acta Electronica Sinica, 2017, 45(8): 1976-1984.
DOI：

WU Shan, ZHOU Xue-gong, WANG Ling-li. SRAM-Based FPGA SEU Fault Propagation Model[J]. Acta Electronica Sinica, 2017, 45(8): 1976-1984. DOI： 10.3969/j.issn.0372-2112.2017.08.024.

摘要

SRAM型FPGA在辐射环境中易受到单粒子翻转的影响，造成电路功能失效.本文基于图论和元胞自动机模型，提出了一种针对SRAM型FPGA单粒子效应的电路故障传播模型.本文将单粒子翻转分为单位翻转和多位翻转来研究，因为多位翻转模型还涉及到了冲突处理的问题.本文主要改进了耦合度的计算方式，通过计算FPGA布局布线中的相关配置位，从而使得仿真的电路故障传播模型更接近于实际电路码点翻转的结果，与以往只计算LUT相关配置位的方法比较，平均优化程度为19.89%.最后阐述了本模型在故障防御方面的一些应用，如找出最易导致故障扩散的元胞.

Abstract

SRAM-based FPGA (Field Programmable Gate Array) could be affected by SEU (Single Event Upset) in radiation environment

causing circuit function failures.This paper proposes an SEU-induced fault propagation model for FPGAs based on the graph theory and the cellular automata.In addition

this paper divides SEU effect into two parts:SBU (Single-Bit Upset) and MBU (Multi-Bit Upset) because MBU has an extra problem about conflict management.The core part of this model is the computing method of the coupling degree which is based upon relative bits from FPGA placement and routing results to make the model more accurate.After validation between fault propagation model and fault injection experiment

this fault propagation model is 19.89% more relative to fault injection experiment than the fault propagation model only counting relative bits in LUT (Look Up Table).Finally

this paper analyses an application about this model to find cells most easily leading to fault diffusion.

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