Synchronization Constraints for Interconnect Synthesis
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Bibliographic record
Abstract
Interconnect synthesis tools ease the burden on the designer by automatically generating and optimizing communication hardware. In this paper we propose a novel capability for FPGA interconnect synthesis tools that further simplifies the designer's effort: automatic cycle-level synchronization of data delivery. This capability enables the creation of interconnect with significantly reduced hardware cost, provided that communicating modules have fixed latency and do not apply upstream backpressure. To do so, the designer specifies constraints on the lengths, in clock cycles, of multi-hop logical communication paths. The tool then uses an integer programming-based method to insert balancing registers into optimal locations, satisfying the designer's constraints while minimizing register usage. On an example convolutional neural network application, the new approach uses 43% less area than a FIFO-based synchronization scheme.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 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