A low power SRAM architecture based on segmented virtual grounding
Bibliographic record
Abstract
A novel architecture for the reduction of both dynamic and static power consumption of static random access memories (SRAM) is presented. The scheme is based on the segmented virtual grounding (SVGND) of the SRAM cells. Substantial leakage reduction is achieved by increasing the threshold voltage of the cell transistors through body effect. The write and read energy consumptions are reduced significantly by decreasing the bitline voltage swing and the number of bitlines affected in each transaction. Unlike recently reported low-power schemes, SVGND allows multiple words to be placed in each row while keeping the dynamic power low. This feature is achieved by introducing an additional operation mode to the SRAM cells. The architecture is implemented in a 130nm CMOS technology. Using this scheme, the read and write array energy consumption can be saved by 44% and 84% respectively. Measurement results portraits 15 times leakage reduction compared to the conventional scheme.
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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) | 0.001 | 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".