Waveform relaxation with overlapping based partitioning for fast transient simulation of package/board power distribution networks
Bibliographic record
Abstract
Modeling of power distribution networks in electronic packages requires the two dimensional discretization of the distributed power/ground planes which can be computationally expensive. Recently, the waveform relaxation algorithm has been proposed for fast transient simulation of power/ground planes. However, due to the strong coupling of each node in a two dimensional (2D) physical space, the relaxation iterations exhibit slow convergence and special techniques need to be adopted to ensure efficient convergence. In this work, a novel waveform relaxation algorithm based on physically partitioning the power/ground plane into smaller overlapping subcircuits is presented. The overlap between the subcircuits provides greater exchange of information per iteration leading to accelerated convergence of the waveform relaxation algorithm. A numerical example has been provided to illustrate the validity of the proposed algorithm over full SPICE simulations.
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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".