A worst-case circuit delay verification technique considerino power grid voltage variations
Bibliographic record
Abstract
In the verification of VLSI circuit design, static timing analysis (STA) techniques allow a designer to calculate the timing of a circuit at different process corners, which only consider cases where all the supplies are low or high. This analysis may not be the true maximum delay of a circuit due to the neglect of mismatch between drivers and load. We propose a new methodology for timing analysis where we identify all the possible critical paths of a circuit using new timing models while integrating the aforementioned mismatch for the logic gates. Given then these critical paths we tie the supplies of the gates to physical power grids and re-analyze for the worst-case time delay. This re-analysis is posed as a sequence of optimization problems where the complete operation of the entire circuit is abstracted in terms of current constraints. We present our technique and report on the implementation results using benchmark circuits tied to a number of test-case power grids.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".