Crosstalk-Glitch Gating: A Solution for Designing Glitch-Tolerant Asynchronous Handshake Interface Mechanisms for GALS Systems
Bibliographic record
Abstract
This paper proposes a novel solution to make asynchronous handshake interfaces tolerant to crosstalk-glitch propagation (GP). This study leverages our recently proposed crosstalk-glitch modeling technique for asynchronous systems, which models the crosstalk GP in asynchronous interfaces. In this paper, a novel set of solutions to quench the GP is proposed. This set of solutions is called crosstalk-glitch gating, as the quenching is obtained by using carefully generated control signals. A step-by-step method is recommended to apply crosstalk-glitch gating to conventional asynchronous handshake interfaces. Transistor-level electrical simulations demonstrate that our method effectively generates crosstalk-glitch gate-controlling signals. In comparison with contemporary signal-integrity management techniques, our gating methodology can be applied to fewer nodes and earlier in the design cycle.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".