A gate sizing and transistor fingering strategy for subthreshold CMOS circuits
Bibliographic record
Abstract
Parallel Transistor Stacks (PTS) has been shown to be an effective technique for improving the speed of digital circuits operating in the subthreshold region which comes at the cost of power consumption and area. However, our experience shows that using PTS is not beneficial in all cases. In this paper, we present a methodology to identify whether using PTS is beneficial (or not) in a particular CMOS technology and what transistor sizing can be employed to maximize the circuit speed. Our technique is based on analyzing the Current-Over-Capacitance (COC) ratio of PMOS and NMOS transistors. The results of incorporating the proposed methodology in a 4-bit comparator and a 19-stage inverter ring oscillator, using 90nm CMOS technology, illustrate 26% and 40% extra improvement compared to the blind use of PTS, 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 | 0.001 |
| 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".