Source-synchronous testing of multilane PCI Express and HyperTransport buses
Bibliographic record
Abstract
This article presents a modular approach for testing multigigahertz, multilane digital devices with source-synchronous I/O buses. This approach is suitable for integration with existing ATE and can provide more than 100 independent differential-pair signals. We describe a specific application with 32 lanes of PCI Express, running at 2.5 gigabits per second (Gbps) per lane, and 32 data channels of HyperTransport, at 1.6 Gbps per channel. The differential source-synchronous nature of these buses presents difficulties for traditional (single-ended, synchronous) ATE. We solve these problems by using true-differential driver and receiver test modules tailored for the specific I/O protocols. We satisfy a further requirement for jitter tolerance testing by incorporating a novel digitally synthesized jitter injection technique in the driver modules. The modular nature of our approach permits customization of the test system hardware and optimization for specific DUT test requirements.
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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 | 0.001 |
| 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".