Low power feature associated with Static Random Access Memory (SRAM) is evaluated. By using gating transistor power saving technique (GTSPT), the average power of SRAM can be reduced. Using GTSPT scheme the average precharge current and the supply current is reduced which is the main cause of the power dissipation in the SRAM. While reading the data, the bitlines are always precharged. By reducing the precharge voltage, the power cane be saved. By using the sense amplifier, the data can be amplified for read operation. By adding the redundant rows and redundant columns the SRAM is made fault tolerant.
The efforts in the semiconductor industry lead to the up-gradation of device size and performance of the devices. Extensive use of cache memory with significant size has become the requirement of most devices, applications, and gadgets. Advanced nanotechnology has resulted in scaled devices and more components with complex circuitry on system-on-chip. The memories are placed incredibly more profound in the die, and memory pins are not accessible readily, leading to more complications in testing the memories. The manufacturing of scaled devices is also a challenging task. A slight variation in doping concentration or process, supply voltage, temperature variations leads to faults in the memory. Advanced technology has increased the possibilities of occurrences of resistive defects in memories. For the smooth operation of systems with high reliability, it is essential to detect all the defects in the memory. In this paper, the detection of resistive defects is proposed at an early stage to increase the life span of the memory cells. Feeble cell detected at an early stage inhibits the more mutilation of the cells and improves memory reliability. An extensive range of defective values is used to analyze the proposed method to cover all positions of the defects in the cell. The proposed method detects the resistive defects with a minimum test time of 81.95μs for 4KB of the memory and contributes a negligible area overhead of 0.77%.
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