Odin-II Partial Technology Mapping for Yosys Coarse-grained Netlists in VTR
Bibliographic record
Abstract
The Verilog-to-routing (VTR) front-end interface for Verilog compilation, Odin-II, lacks complete support for the Verilog-2005 standard. However, Odin-II provides complex partial mapping for balancing soft logic and hard blocks. Yosys, an open framework for RTL synthesis, provides extensive support for HDLs. However, the Yosys flow forces the user to decide the discrete circuit implementation manually. This research proposes improving device utilization and simplifying the flow by automating complex logic decisions with architecture awareness. According to VTR architectures, hard/soft logic trade-off decisions and heterogeneous logic inference have become available for such coarse-grained BLIF files. Yosys+Odin-II demonstrates promising results by lowering resource consumption, shrinking final circuit footprint, and reducing overall routed wire length, while other criteria remain approximately the same.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".