11.2 A 26.5625-to-106.25Gb/s XSR SerDes with 1.55pJ/b Efficiency in 7nm CMOS
Bibliographic record
Abstract
The increasing connectivity of devices in our daily lives has driven the need for higher bandwidth in network and data centers. Recently, we have seen the development of 112Gb/s SerDes, particularly for long-reach interfaces [1- 3]. In high-density switch ASICs, we see an increasing demand to improve both area efficiency (mm2/lane) and signaling efficiencies (pJ/b) [1- 6]. In a switch ASIC, keeping the SerDes power low translates into broader system power savings since additional power and cost for cooling can be limited or even avoided entirely. One path forward to achieve these important system gains is co-packaged optics (CPO) with an extra-short-reach (XSR) interface. In these applications the switch ASIC and optical engine are no more than 50mm apart which represents a total loss of approximately 10dB at 106.25Gb/s.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.029 |
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".