An integer programming placement approach to FPGA clock power reduction
Bibliographic record
Abstract
Abstract — Clock signals are responsible for a significant por-tion of dynamic power in FPGAs owing to their high toggle fre-quency and capacitance. Clock signals are distributed to loads through a programmable routing tree network, designed to pro-vide low delay and low skew. The placement step of the FPGA CAD flow plays a key role in influencing clock power, as clock tree branches are connected based solely on the placement of the clock loads. In this paper, we present a placement-based approach to clock power reduction based on an integer linear programming (ILP) formulation. Our technique is intended to be used as an op-timization post-pass executed after traditional placement, and it offers fine-grained control of the amount by which clock power is optimized versus other placement criteria. Results show that the proposed technique reduces clock network capacitance by over 50 % with minimal deleterious impact on post-routed wirelength and circuit speed. I.
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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".