SC Build: a computer-aided design tool for design space exploration of embedded central processing unit cores for field-programmable gate arrays
Why this work is in the frame
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Bibliographic record
Abstract
A genetic algorithm-based design space exploration technique using parameterised cores is examined. A computer-aided design tool called SCBuild was developed which is capable of applying a genetic algorithm to a core's parameters, and generating hardware description language models of core variants. The tool can also compute estimates of a variant's area and critical path delay on a field-programmable gate array. Using this tool, several experiments were conducted using a soft-core processor with a large design space. It was concluded from these experiments that using a genetic algorithm to explore the design space of a parameterised core can help a designer make intelligent decisions regarding the assignment of values to the parameters of an embedded hardware platform.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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