Dual-Vt Design of FPGAs for Subthreshold Leakage Tolerance
Bibliographic record
Abstract
In this paper we propose a dual-Vt FPGA architecture for reduction of subthreshold leakage power. A CAD flow has been proposed based on the dual-Vt assignment algorithm and placement for realizing the dual-Vt FPGA architecture. Logic elements within the logic blocks are the candidates for dual-Vt assignment. We propose an architecture in which there are two kinds of logic blocks, one with all high-Vt logic elements and another with a fixed percentage of high-Vt logic elements. These two kinds of logic blocks are then placed in such a way that the FPGA architecture remains regular. Results indicate that in the ideal case of dual-Vt assignment, over 95% of the logic elements can be assigned high-Vt. Results show that leakage savings of 55% can be achieved. Design tradeoffs for various ratios of the two kinds of logic blocks are investigated. The dual-Vt FPGA CAD flow is intended for development and evaluation of dual-Vt FPGA architectures
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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".