A passive resonant clocking network for distribution of a 2.5-GHz clock in a flash ADC
Bibliographic record
Abstract
This paper analyzes the impact of clock skew between comparators in a flash ADC, showing that the SNDR penalty introduced by this effect can become significant at high frequencies. To address this issue, a passive resonant clock network is proposed to distribute the clock to the comparators in a flash ADC. The inductive termination of this network serves to resonate out the parasitic and input capacitances of the ADC, allowing for a 2.5-GHz clock signal to be conveyed to a load of 256 comparators while consuming less power than traditional clock networks due to the reduced number of active clock buffers required. This clock network produces little timing skew at the resonant frequency, thereby obviating the need for a track-and-hold amplifier, which further reduces the power requirements of the ADC. This clock network was implemented in a 5-bit flash ADC designed in 65 nm CMOS, with a measured SNDR of 26 dB.
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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 | 0.001 |
| 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 | 0.001 | 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".