A 0.8V Algorithmically Defined Buffer and Ring Oscillator Low-Energy Design for Nanometer SoCs
Bibliographic record
Abstract
In this paper, an algorithmically defined buffer and ring oscillator design for low energy applications is proposed. The goal of the algorithm is to easily converge to a low energy solution while the system maintains constant speed and full swing at a given supply voltage, irrespective of the capacitive load. The experimental circuit is a 980MHz oscillator operating from a 0.8V supply, driving a 1pF load, designed using a 0.18mum TSMC CMOS process technology. A comparison to the well known minimum delay tapered buffer, using an exponential horn designed independently of the oscillator, is done. The comparison shows that our algorithm produces a 3.7-3.9 times improvement in terms of power, energy, and energy delay product (EDP) metrics, and 14.6 times improvement in terms of the energy area product (EAP)
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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".