Dual-edge triggered sense amplifier flip-flop for resonant clock distribution networks
Bibliographic record
Abstract
A dual-edge sense amplifier flip-flop (DE-SAFF) for resonant clock distribution networks (CDNs) is proposed. The clocking scheme used to enable dual-edge triggering in the proposed SAFF reduces short circuit power by allowing the precharging transistors to be switched on only for a portion of the clock period. The extracted circuit layout of the proposed DE-SAFF has been simulated in STMicroelectronics 90 nm technology with a resonant clock signal at a frequency of 500 MHz. Simulation results show correct functionality of the flip-flip under process, voltage and temperature variations. Two low-power clocking techniques, the dual-edge triggering method and the emerging resonant (sinusoidal) clocking technique, have been combined to enable further power reduction in the CDN. Modelling the resonant clock distribution system with the proposed flip-flop illustrates that dual-edge triggering can achieve up to 58% reduction in the power consumption of resonant clock networks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".