2012 IEEE 15th International Symposium on Design and Diagnostics of Electronic Circuits &Amp; Systems (DDECS) 2012
DOI: 10.1109/ddecs.2012.6219081
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CIVA: Custom instruction vulnerability analysis framework

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Cited by 6 publications
(5 citation statements)
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“…In another experiment, CIVA is utilized to generate all {4,1} graphs with three nodes ({3,4,1}) and the AVFs of CIs based on these graphs have been extracted by using random and exhaustive methods. For random method, average of differences between two consequent estimation of AVF values have been selected to be less than 0.5%, 1%, and 5% ( [13]). Simulation results in Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…In another experiment, CIVA is utilized to generate all {4,1} graphs with three nodes ({3,4,1}) and the AVFs of CIs based on these graphs have been extracted by using random and exhaustive methods. For random method, average of differences between two consequent estimation of AVF values have been selected to be less than 0.5%, 1%, and 5% ( [13]). Simulation results in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…We have used the Custom Instruction Generator for comparing all CIs with predefined number of nodes and exploring the variations between the reliability of all possible CIs. More details about CIVA can be found in [13].…”
Section: Custom Instruction Vulnerability Analysismentioning
confidence: 99%
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“…For example, the authors of [39] proposed an analytical technique to compute error propagation rate of CIs due to logical maskings. However, this method is not applied to any benchmark application to verify its effectiveness.…”
Section: Ser-aware CI Selectionmentioning
confidence: 99%