Journal of Circuits Systems and Computers · 2020 · 47 citations · 29 references
EngineeringComputer EngineeringElectrical EngineeringLow-power DesignMicroelectronicsSemiconductor DevicesDynamic Power ReductionLow-noise Circuit DesignLow-power Digital Circuit DesignMemory DevicesNoise In Electronic DevicesNoise In Semiconductor DevicesData RetentionMemory Circuit DesignRandom Access Memory (Ram)Random-access MemoryStatic Noise MarginStatic Random-access MemoryStatic Random-access Memory DesignVariability Analysis
In this paper, a 11-T static random-access memory (SRAM) cell has been examined that shows a fair reduction in read power dissipation while upholding the stability and moderate performance. In the presented work, parametric variability analysis of various design metrices such as signal to noise margin, read current and read power of the Proposed 11T cell are presented and compared with few considered topologies. The Proposed cell offers single ended write operation and differential read operation. The improvement in read signal to noise margin and write signal to noise margin with respect to conventional 6T SRAM is 10.63% and 33.09%, respectively even when the write operation is single ended. Mean hold static noise margin of the cell for 3000 samples is [Formula: see text] times higher than considered D2p11T cell. Sensitivity analysis of data retention voltage (DRV) with respect to temperature variations is also investigated and compared with considered topologies. DRV variation with temperature is least in FF process corner. In comparison to conventional 6T SRAM cell, the write and read delay of Proposed 11T cell gets improved by [Formula: see text] and 1.64%, respectively. Proposed 11T topology consumes least read energy in comparison with considered topologies. In comparison with another considered 11T topology, i.e., D2p11T cell, Proposed cell consumes 13.11% lesser area. Process variation tolerance with Monte Carlo simulation for read current and read power has been investigated using Cadence virtuoso tool with GPDK 45-nm technology.
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Anantha P. Chandrakasan, R.W. Brodersen · 2015 · 2.2K citations
Engineering, Computer Engineering, Electrical Engineering +17