Dual-Threshold CAD Framework for Subthreshold Leakage Power Aware FPGAs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Managing leakage power in field programmable gate arrays (FPGAs) has become critical for the FPGA industry to remain competitive in the semiconductor market and enter the mobile applications domain. This paper proposes and evaluates several dual-Vt-based designs of FPGA architecture for reducing the leakage power. A dual-Vt FPGA computer-aided design (CAD) framework has been proposed, which is used to develop and evaluate different dual-Vt FPGA architectures. The logic elements and the routing resources are considered as candidates for dual-Vt assignment. The authors estimate the number of the logic elements that can be assigned as high-Vt in the ideal case by using a dual-Vt assignment algorithm in the CAD framework. Based upon this estimate, the authors develop and evaluate two kinds of architectures, homogenous and heterogenous. The results indicate that an average leakage-power savings of up to 50% can be obtained from these architectures. This CAD framework can also be used for developing and evaluating different dual-Vt FPGA architectures other than the ones proposed in this paper
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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