IEEE Transactions on Electron Devices · 2011 · 70 citations · 30 references
EngineeringComputer EngineeringElectrical EngineeringMemoryMicroelectronicsSemiconductor DevicesDevice CharacterizationDevice ModelingDevice ReliabilityNoise In Electronic DevicesNoise In Semiconductor DevicesNoise MeasurementDevice VariabilityDirect MeasurementNoise CharacterizationNoise Margin AnalysisNoise MarginsRandom-access MemoryStatic Noise MarginStatic Random-access Memory
Noise margin, characteristics of six individual cell transistors, and their variability in static random-access memory (SRAM) cells are directly measured using a special device-matrix-array test element group of 16-kb SRAM cells, and the correlation between the SRAM noise margin and the cell transistor variability is analyzed. It is found that each cell shows a very different supply voltage <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$V_{dd}$</tex> </formula> dependence of the static noise margin (SNM), and this scattered <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX"> $V_{dd}$</tex></formula> dependence of the SNM is not explained by the measured threshold voltage <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$V_{\rm th}$</tex></formula> variability alone, indicating that the circuit simulation taking only the <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$V_{\rm th}$</tex></formula> variability into account will not predict the SRAM stability precisely at low supply voltage.
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