Raising the abstraction level of HDL for control-dominant applications
Why this work is in the frame
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Bibliographic record
Abstract
As the complexity of modern digital systems continues to increase exponentially, the need for beyondRTL design methodologies is growing as well. In this paper, we propose a high-level hardware description language that allows the user to dynamically modify and constrain the connections between data token sources and sinks. Actual transfers occur when both sources and sinks are ready to proceed, according to different predefined synchronization protocols. At this level of abstraction, both FSM programming and constraint programming paradigms are combined to enhance the user's ability to describe and exploit fine-grain parallelismin control-intensive hardware designs. The proposed hardware description methodology is applied to the description of two hardware implementations of the QuickSort algorithm, using pipelined memory and comparator components.
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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) | 0.000 | 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 it