Chortle: a technology mapping program for lookup table-based field programmable gate arrays
Why this work is in the frame
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Bibliographic record
Abstract
An algorithm is described for technology mapping of combinational logic into field programmable gate arrays that use lookup table memories to realize combinational functions. It is difficult to map into lookup tables using previous techniques because a single lookup table can perform a large number of logic functions and prior approaches require each function to be instantiated separately in a library. The new algorithm, implemented in a program called Chortle, uses the fact that a K-input lookup table can implement any Boolean function of K inputs and so does not require a library-based approach. Chortle takes advantage of this complete functionality to evaluate all possible decompositions of the input Boolean network nodes. It can determine the optimal (in area) mapping for fanout-free trees of combinational logic. In comparison with the MIS II technology mapper, on MCNC-89 LOGIC Synthesis benchmarks Chortle achieves superior results in significantly less time.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.002 | 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