Data-driven dynamic logic versus NP-CMOS logic, a comparison
Bibliographic record
Abstract
Data-driven dynamic logic (D/sup 3/L) is an appropriate candidate for replacing conventional dynamic logic in many cases. In a previous paper, we have shown how a D/sup 3/L-based design can be used in place of a conventional domino logic (Rafati et al., ISCAS vol.1, pp.752-5, 2000). The designed circuit has been shown to have up to 30% less power dissipation compared to its domino counterpart. This is in addition to the fact that no speed degradation was found. In this paper, after a brief introduction on NP-CMOS logic and D/sup 3/L, we show how to convert an NP-CMOS design to a D/sup 3/L one. Then, the results of simulations performed on a 16-bit barrel shifter are demonstrated and compared for static, NP-CMOS and D/sup 3/L design styles.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".