A novel asynchronous wrapper using 1-of-4 data encoding and single-track handshaking
Bibliographic record
Abstract
Globally asynchronous locally synchronous (GALS) design style has evolved as a solution to increasing problems of distributing clock at high frequency in DSM technology. Most wrapper designs proposed in some recent literature are based on bundled data protocols and suffer from the same timing closure problem as synchronous designs. Delay insensitive (DI) protocols offer a solution to this problem. However, most of the work on DI schemes was limited to asynchronous circuits so far. This is, to our knowledge, the first paper that presents a complete asynchronous wrapper architecture for GALS designs based on a DI protocol. It uses 1-of-4 data encoding with single-track handshaking. The resulting circuit shows a throughput of 1.66 Gbps, significantly higher than previous asynchronous DI templates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".