An analytical model for current, delay, and power analysis of submicron CMOS logic circuits
Bibliographic record
Abstract
An analytical model for computing the supply current, delay, and power of a submicron CMOS inverter is presented. A modified version of the nth power law MOSFET model is proposed and used to relate the terminal voltages to the drain current in submicron transistors. By first computing definable reference points on the output voltage waveform, and then using linear approximations through these points to find the actual points of interest, the desired speed and accuracy of the inverter model are achieved. The most important part of the analysis is a three-step approach for computing the time and output voltage when the short-circuit transistor changes its mode of operation. The time and output voltage when the charging/discharging current reaches its maximum are also calculated and then used to evaluate the propagation delay and characterize the output voltage waveform. The model has been validated for both 0.8 /spl mu/m (5 V) and 0.25 /spl mu/m (2.5 V) CMOS technologies, for a wide range of inverter sizes, input transition times, and capacitive loads. It predicts the delay, peak supply current, and power dissipation to within a few percent of HSPICE or ELDO simulations based on accurate physically based MOSFET models, while offering about two orders of magnitude gain in CPU time based on a MATLAB implementation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".