Analysis of Soft Error Propagation Considering Masking Effects on Re-Convergent Path

As technology nodes continue to shrink, the impact of radiation-induced soft error on processor reliability increases. Estimation of processor reliability and identification of vulnerable flip-flops requires accurate soft error rate (SER) analysis techniques. This paper presents a proposal for a soft error propagation analysis technique. We specifically examine single event upset (SEU) occurring at a flip-flop in sequential circuits. When SEUs propagate in sequential circuits, the faults can be masked temporally and logically. Conventional soft error propagation analysis techniques do not consider error convergent timing on re-convergent paths. The proposed technique can analyze soft error propagation while considering error-convergent timing on a re-convergent path by combinational analysis of temporal and logical effects. The proposed technique also considers the case in which the temporal masking is disabled with an enable signal of the erroneous flip-flop negated. Experimental results show that the proposed technique improves inaccuracy by 70.5%, on average, compared with conventional techniques using ITC 99 and ISCAS 89 benchmark circuits when the enable probability is 1/3, while the runtime overhead is only 1.7% on average.

[1]  Seyed Ghassem Miremadi,et al.  SCFIT: A FPGA-based fault injection technique for SEU fault model , 2012, 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[2]  H. Asadi,et al.  Soft Error Derating Computation in Sequential Circuits , 2006, 2006 IEEE/ACM International Conference on Computer Aided Design.

[3]  B. L. Bhuva,et al.  Comparison of Combinational and Sequential Error Rates for a Deep Submicron Process , 2011, IEEE Transactions on Nuclear Science.

[4]  Giovanni Squillero,et al.  New techniques for speeding-up fault-injection campaigns , 2002, Proceedings 2002 Design, Automation and Test in Europe Conference and Exhibition.

[5]  C. Lopez-Ongil,et al.  Autonomous Fault Emulation: A New FPGA-Based Acceleration System for Hardness Evaluation , 2007, IEEE Transactions on Nuclear Science.

[6]  N. Seifert,et al.  Comparison of alpha-particle and neutron-induced combinational and sequential logic error rates at the 32nm technology node , 2009, 2009 IEEE International Reliability Physics Symposium.

[7]  Denis Teixeira Franco,et al.  Signal probability for reliability evaluation of logic circuits , 2008, Microelectron. Reliab..

[8]  Raoul Velazco,et al.  An Automated SEU Fault-Injection Method and Tool for HDL-Based Designs , 2013, IEEE Transactions on Nuclear Science.

[9]  B. Ricco,et al.  Estimate of signal probability in combinational logic networks , 1989, [1989] Proceedings of the 1st European Test Conference.

[10]  Adrian Evans,et al.  Comprehensive analysis of alpha and neutron particle-induced soft errors in an embedded processor at nanoscales , 2014, 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[11]  Lorenzo Alvisi,et al.  Modeling the effect of technology trends on the soft error rate of combinational logic , 2002, Proceedings International Conference on Dependable Systems and Networks.

[12]  Liang Chen,et al.  CEP: Correlated Error Propagation for Hierarchical Soft Error Analysis , 2013, J. Electron. Test..

[13]  Diana Marculescu,et al.  Soft error rate analysis for sequential circuits , 2007 .

[14]  Michael Nicolaidis,et al.  Soft Errors in Modern Electronic Systems , 2010 .

[15]  N. Seifert,et al.  Robust system design with built-in soft-error resilience , 2005, Computer.