Power and area efficient 5T-SRAM with improved performance for low-power SoC in 65nm CMOS
Bibliographic record
Abstract
This paper addresses performance and reliability issues in a 5T SRAM cell, and introduces a low power, reliable and high performance design in 65nm technology, which can be used as cache memory in processors and in low-power portable devices. The proposed SRAM cell features ~13% area reduction compared to a typical 6T cell. In addition, it features a biasing ground line, VSSM, which is charged by channel leakage current from memory cells in standby, and is used to pre-charge a single bit-line and bias the negative supply voltage of each memory cell to suppress standby leakage power. A major standby power reduction is gained compared to conventional 5T and 6T designs and up to ~30% compared to previous low-power 6T designs. The proposed design has read and static noises margins, as well as write `0' and read performance that are comparable to typical 6T designs. Write `1' is slower by ~11-31% depending on design choices and can be improved with minor cost of area and power.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".