2009
DOI: 10.1109/tdsc.2007.70231
|View full text |Cite
|
Sign up to set email alerts
|

Modeling Soft Errors at the Device and Logic Levels for Combinational Circuits

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
23
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 41 publications
(23 citation statements)
references
References 34 publications
0
23
0
Order By: Relevance
“…An example of a model for fault injection analysis is presented in [20], where a library was created to predict single error rates in combinational circuits, considering typical current responses which depend on different characteristics of soft errors. In [15] a tool called MODIFI (MODel-implemented Fault Injection) is presented.…”
Section: Simulation-based Fault Injectionmentioning
confidence: 99%
“…An example of a model for fault injection analysis is presented in [20], where a library was created to predict single error rates in combinational circuits, considering typical current responses which depend on different characteristics of soft errors. In [15] a tool called MODIFI (MODel-implemented Fault Injection) is presented.…”
Section: Simulation-based Fault Injectionmentioning
confidence: 99%
“…Some logic gates, such as NAND and NOR gates, have a capability to tolerate errors from previous gates, which is explained in Section I. For logic network with logical masking, soft error rate is the product of the probability of no logical masking and the probability of SET being in latch window, as expressed in (16). SER  P no_logical_masking *P in_latching_window (16) Every logic gate has its special P no_logical_masking .…”
Section: B Verification On Logic Network With Logical Maskingmentioning
confidence: 99%
“…SPICE/HSPICE simulations [15,16] have indicated that the probability of latching window masking tightly depends on the SET pulse width and SET injection timing with respect to the flip-flop sampling moment. To reduce simulation time, previous work [13] tried to identify the critical SET pulse width in benchmark circuits and computation units.…”
Section: Introductionmentioning
confidence: 99%
“…Several methods that incorporate the various masking factors have been proposed to model and evaluate SER, such as the SEUTool (Massengill et al, 2000), the SERA tool (Zhang and Wang, 2006), the SEAT tool (Ramanarayanan et al, 2009) …”
Section: Tools For Modeling and Evaluating Soft Error Ratementioning
confidence: 99%
“…Ramanarayanan et al (Ramanarayanan et al, 2009) model the three common masking effects (logical, electrical, latch-window) concurrently by: (1) capturing the current-voltage transfer characteristics for multiple current pulses at the input nodes, (2) accumulating the delay information for logic cells, (3) estimating the timing window for flip-flops by sweeping a voltage pulse of a specific width and height at the input of the flip-flop using HSPICE simulation, and (4) modeling the voltage glitch propagation using the mathematical equations proposed in the work. This tool is useful in terms of calculating the masking effects concurrently and efficiently.…”
Section: Seatmentioning
confidence: 99%