Low-voltage power-efficient BiDPL logic design and applications
Bibliographic record
Abstract
This paper presents a new logic design, bipolar double pass-transistor logic (BiDPL), and its implementation into a full-adder. At 1.2 V and output loads of 0.1 to 0.7 pF the new logic style has up to 2.9 times better power efficiency than previously reported low-voltage BiCMOS styles and uses between 16 to 32 % less switching power. Under optimal conditions (V/sub dd/=1.6 V), the new design has up to 18% higher power efficiency than conventional CMOS logic for loads of 0.55 to 1 pF and up to 117 % better power efficiency compared to BiCMOS styles for output loads of 0.1 to 0.68 pF. When used to implement a full adder, it is more power-efficient at very low power supply voltages (1.1 to 2 V) than a conventional CMOS adder design and the best low-voltage low-power adder reported in the literature. The proposed BiDPL adder outperforms in power efficiency both designs at 1.5 V by as much as 61 % and 535 % respectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".