Bibliographic record
Abstract
FPGA interconnection network is implemented using nMOS pass transistor multiplexers. Since the threshold voltage drop across an nMOS device degrades the high logic value, the pMOS transistors of the downstream buffers do not turn fully off, making this approach suffer from static power consumption due to the short-circuit currents and reduced noise margins. The standard pMOS transistor pull-up in the active feedback of an inverter reduces the static power consumption but degrades the switching time and/or dynamic power consumption. We propose to use capacitive boosting to increase the gate voltage of the pass transistors, thus driving the multiplexer output to the full high voltage level at a faster rate than the pMOS pull-up can alone. This way, the signal transitions are accelerated and the short-circuit current of downstream buffers are cut off. The simulations carried out with Cadence indicate a reduction of at least 10% in propagation delay for the proposed circuit versus the standard one across 180nm, 130nm, 90nm, and 65nm technologies.
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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 | 0.000 | 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".