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Volume 39 Issue 1
Jan.  2017
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LIANG Huaguo, SUN Hongyun, SUN Jun, HUANG Zhengfeng, XU Xiumin, YI Maoxiang, OUYANG Yiming, LU Yingchun, YAN Aibin. FPGA-based Soft Error Sensitivity Analysis Method for Microprocessor[J]. Journal of Electronics & Information Technology, 2017, 39(1): 245-249. doi: 10.11999/JEIT160225
Citation: LIANG Huaguo, SUN Hongyun, SUN Jun, HUANG Zhengfeng, XU Xiumin, YI Maoxiang, OUYANG Yiming, LU Yingchun, YAN Aibin. FPGA-based Soft Error Sensitivity Analysis Method for Microprocessor[J]. Journal of Electronics & Information Technology, 2017, 39(1): 245-249. doi: 10.11999/JEIT160225

FPGA-based Soft Error Sensitivity Analysis Method for Microprocessor

doi: 10.11999/JEIT160225
Funds:

The National Natural Science Foundation of China (61274036, 61371025, 61474036, 61574052), Anhui Provincial Natural Science Foundation (1608085MF149)

  • Received Date: 2016-03-11
  • Rev Recd Date: 2016-07-22
  • Publish Date: 2017-01-19
  • In order to quickly and automatically analyze the soft error sensitivity for microprocessors, a soft error sensitivity analysis method using FPGA-based fault injection is proposed. The fault and fault-free microprocessors on a FPGA are board run simultaneously. Moreover, a fault injection controller, a fault classification module and a fault list module are also implemented on the hardware. The method inherits the parallelism of the FPGA and achieves a fast and automatical fault injection for all storage bits. Further, using a PIC16F54 microprocessor as experimental subject, approximate 300, 000 soft errors are injected into the microprocessors to analyze its soft error sensitivity. In order to demonstrate the sensitivity evaluation efficiency of the method, the quite sensitive storage cells are hardened and the sensitivity is analyzed again. Compared to the simulation approach, experimental results show that the proposed technique achieves four orders of magnitude speedup.
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