Bibliographic record
Abstract
Challenges associated with high speed I/O including cross-talk, channel characterization, ESD protection, and debug will be addressed in this session. Crosstalk affects circuit performance with three key variables: aggressor noise injection timing, aggressor location and direction, and voltage drop. The first paper provides an in-situ crosstalk delay measurement circuit and results on 65nm CMOS. As I/O data rates move to 10 Gb/s, the challenge of channel characterization is to understand the effect of die, packaging and board parasitics and their impact on signal integrity. This paper provides a test characterization methodology for separating out these effects for modeling. The benefits of inductive CDM ESD protection in 45nm planar CMOS technology is discussed in the third paper for an RF circuit operated at 13GHz. The session concludes with a tutorial overview of non-destructive optical beam failure analysis techniques for defect localization. Increasing IC complexities resulting from dense multi-level metallization and flip-chip packaging have left only the backside of the IC available for interrogation and which further complicates failure and yield analysis, especially in the presence of soft defects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.173 | 0.108 |
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".