P* Admissible Thermal-Aware Matrix Floorplanner for 3D ICs
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Bibliographic record
Abstract
Over the past decade, three-dimensional (3D) integrated circuits (ICs) have matured as a promising solution for high-performance computing systems. Achieving high power density (>1 W/mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ), however, poses a critical thermal management challenge, as heat is prone to be trapped within the layers of the 3D structure. Early-stage power-aware floorplanning is crucial to address thermal challenges, supporting the evaluation of multiple design alternatives. In this paper, a P* admissible thermally aware floorplanning algorithm for 3D ICs is proposed. The operation principle of the algorithm is based on storing and manipulating the data of the functional blocks in a matrix form, supporting polynomial optimization and packing time. Simulation results on standard benchmarks (MCNC and GSRC) exhibit a significant improvement in key performance metrics. A reduction in area, temperature, and runtime of up to, respectively, 10.1%, 17.7%, and 89.6% are observed, as compared to the state-of-the-art.
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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 | 0.000 |
| 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 | 0.001 |
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 it