Probabilistic Soft Error Rate Estimation from Statistical SEU Parameters∗

نویسندگان

  • Fan Wang
  • Vishwani D. Agrawal
چکیده

Nanometer CMOS VLSI circuits are highly sensitive to soft errors, also known as single-event upsets (SEU) that induce current pulses at random times and at random locations in a digital circuit. Environmental causes of SEU include cosmic radiation and high-energy particles. Our neutron induced soft error rate (SER) estimation method propagates single event transient (SET) pulses through the affected logic circuit. A pulse is modeled by two parameters, a probability of occurrence and a probability density function of the pulse width. We consider the entire neutron linear energy transfer (LET) spectra of the terrestrial background in our analysis. Failures in time (FIT) rates are calculated for ISCAS85 benchmark circuits. In comparison to the reported SER analysis work, our method considered many more factors like the sensitive region of a device, electrical masking and circuit technology that influence the SER. A comparison with measured SER for SRAMs shows better relevancy of our work over other published work. Our CPU times are reasonable; benchmark circuit C1908 with 880 gates requires only 1.14 seconds. We conclude that soft error estimation is highly sensitive to factors like sensitive regions, process variation and circuit characterization. Field test or accelerated test data on logic devices would be needed to further validate the accuracy of the analysis.

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تاریخ انتشار 2008