High-speed low-power adder with a new logic style: pseudo dynamic logic (SDL)
Bibliographic record
Abstract
In this paper, a high speed and low power adder is designed using a new logic-design style called Pseudo Dynamic Logic (SDL). Traditional dynamic logic is pre-charged to a default value and in the evaluation phase is changed to its real logic, However, in this new logic style, the internal nodes are charged to an intermediate pre-charge value, so that the evaluation is performed faster. A 32-bit CLA adder has been designed and simulated using HSPICE Level 49 parameters of a 0.6 /spl mu/m CMOS process. Simulated measurements on this adder show that the worst-case delay is 1.56 ns. This shows 2.1 times speed improvement and 21.2% area saving in comparison to a domino dynamic logic design implemented with the same technology.
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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) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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; both teacher heads agree on what is shown here.
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".