Inter-signal timing skew compensation of parallel links with voltage-mode incremental signaling
Bibliographic record
Abstract
Inter-signal timing skew gives rise to reduced timing margins at the receiver and limits the data rate of parallel links. This paper proposes a new inter-signal timing skew compensation technique for parallel links with voltage-mode incremental signaling. The proposed technique employs an early/late block to detect the rising and falling edges of adjacent pulses generated at the output of comparators due to inter-signal timing skews, and subsequently to allocate the optimal sampling point of the samplers to maximize timing margins. Two delay-locked loops (DLLs) are employed to place the sampling clock to the optimal sampling position. The skew compensation range is quantified with reference of the delay range of the DLLs. The effectiveness of the proposed deskewing method is validated using a 1 Gbyte/s parallel link implemented in UMC-0.13 mum 1.2 V CMOS technology with three microstrip channels on a FR4 substrate.
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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 | 0.001 | 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) | 0.001 | 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 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".