In this brief, a local bit-line (LBL) SRAM with data-aware power-gating write assist is proposed for near-threshold operation.
This paper introduces a novel SRAM (Static Random-Access Memory) architecture that leverages data-aware power-gating write assist to enhance both energy efficiency and write performance. In an era of ever-increasing data-centric computing demands, the proposed architecture addresses the challenges of power consumption and write latency in on-chip memories.
The key innovation in this architecture lies in its ability to intelligently apply power-gating techniques to SRAM cells based on the data content being written. Traditional power gating typically involves completely isolating SRAM cells from the power supply during idle periods, incurring significant overhead when reactivating cells for write operations. In contrast, our data-aware approach selectively activates SRAM cells, reducing the overhead associated with write assist techniques.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software Requirements:
· Tool: Cadence Virtuoso
· Technology: GPDK45nm
Hardware Requirements:
· Introduction to digital & analog electronics
· Knowledge of MOSFETs
o Operation and characteristics of PMOS & NMOS
o Knowledge on Threshold voltages
· Basics of SRAM
o Operation of SRAM
o SNM and Power Analysis
o Stability Analysis
· Knowledge on Power Gating Concept
· Brief of Write assist techniques.
· Knowledge on Tool Learning
· Scope of SRAM in Real time.