Mitigating the Impact of Process Variation on the Performance of 3-D Integrated Circuits
Why this work is in the frame
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Bibliographic record
Abstract
Three-dimensional die-stacking architectures have been proposed as a promising solution to the increasing interconnect delay that is observed in scaled technologies. Although prior research has extensively evaluated the performance advantage of moving from a 2-D to a 3-D design style, the impact of process parameter variations on 3-D designs has not been studied in detail. In this paper, we attempt to bridge this gap by proposing a variability-aware design framework for fully synchronous (FS) and multiple clock-domain (MCD) 3-D systems. To mitigate the impact of process variations on 3-D designs, we propose the variability-aware 3-D integration strategy for MCD 3-D systems that maximizes the probability of the design meeting specified system performance constraints. The proposed optimization strategy is shown to significantly outperform the FS and MCD 3-D implementations that are conventionally assembled, for example, the MCD designs assembled with the proposed integration strategy provide, on average, 44% and 16.33% higher absolute yield than the FS and conventional MCD designs, respectively, at the 50% yield point of the conventional MCD designs.
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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 | 0.001 |
| 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 it