Effectiveness and scaling trends of leakage control techniques for sub-130 nm CMOS technologies
Bibliographic record
Abstract
This paper compares the effectiveness of different leakage control techniques in deep submicron (DSM) bulk CMOS technologies. Simulations show that the 3-5/spl times/ increase in I/sub OFF///spl mu/m per generation is offsetting the savings in switching energy obtained from technology scaling. We compare both the transistor I/sub OFF/ reduction and I/sub ON/ degradation due to each technique for the 130 nm-70 nm technologies. Our results indicate that the effectiveness of leakage control techniques and the associated energy vs. delay tradeoffs depend on the ratio of switching to leakage energies for a given technology. We use our findings to design a 70 nm low power word line driver scheme for a 256 entry, 64-bit register file (R-F). As a result, the leakage (total) energy of the word line drivers is reduced by 3/spl times/ (2.5/spl times/) and for the RF by up to 35% (25%) respectively.
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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".