Statistical Design Framework of Submicron Flip-Flop Circuits Considering Process Variations
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Bibliographic record
Abstract
In this paper, a framework for the statistical design of the flip-flops circuits is proposed to achieve a high yield, while meeting the performance, leakage power, switching power, and layout area design specifications. The proposed design solution provides the nominal design parameters, i.e., the widths and lengths of the flip-flop transistors, which provide maximum immunity to the process variations in the transistor dimensions and threshold voltage. The proposed framework shows that for a given flip-flop design specifications, a certain yield can be achieved. To further increase this yield, the proposed framework shows which design specifications should be relaxed. The transmission gate-based master-slave flip-flop is selected as a design case study in this paper, however, the proposed framework is applicable to any other flip-flop circuit in the nanometer regime.
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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 | 0.001 |
| 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 it