FPGA PLB Architecture Evaluation and Area Optimization Techniques Using Boolean Satisfiability
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a field-programmable gate array (FPGA) logic synthesis technique based upon Boolean satisfiability. This paper shows how to map any Boolean function into an arbitrary programmable logic block (PLB) architecture without any custom decomposition techniques. The authors illustrate several useful applications of this technique by showing how this technique can be used for architecture evaluation and area optimization. When evaluating the FPGA architecture, the authors focus on the basic building block of the FPGA, which they refer to as PLB. In order to illustrate the flexibility of their evaluation framework, several unrelated PLB architectures are evaluated in an automated fashion. Furthermore, the authors show that using their technique is able to reduce FPGA resource usage by 27% on average in common subcircuits found in digital design.
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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 | 0.002 | 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