Reduction of Power Supply Induced Jitter with Applications to DDR Controllers
Bibliographic record
Abstract
It is desirable to improve the tradeoff between the power supply induced jitter (PSIJ) performance and the cost for the clock distribution circuit in a double data rate (DDR) controller.This thesis proposes the following techniques to achieve the goal:The static phase offset (SPO) is the dominant mechanism causing reference spurs in the spectrum of the multiplying delay-locked loop (MDLL) output.With a high-gain stage inserted between the phase detector/phase frequency detector and the charge pump, the equivalent SPO has been decreased by a factor equal to the gain of the gain stage.The effectiveness of the proposed technique has been verified at both behavioral level with a Simulink model and the transistor level with circuit simulation results.This thesis also presents a very simple and highly accurate expression for the power supply-induced jitter sensitivity transfer function for CMOS buffer chains.The transfer function is mainly a function of the maximum and minimum propagation delay of the buffer chain.Lastly in this thesis, a concise method is proposed for converting the frequency domain equivalent serial resistance (ESR) and equivalent serial capacitance (ESC) to an approximate broadband equivalent circuit which can be readily used in time domain jitter analysis.Finally a case study demonstrates that, with the proposed techniques in this dissertation, the MDLL based clock distribution circuit for a DDR controller improves the tradeoff
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".