Titan 2.0: Enabling Open-Source CAD Evaluation with a Modern Architecture Capture
Bibliographic record
Abstract
This paper presents an updated version of the Titan (Quartus + VPR) flow, and a VPR-compatible architecture description of Intel's Stratix 10 device. Together these components enable large designs to be targeted at a complex and realistic architecture, facilitating improved benchmarking and optimization of open-source CAD flows. Additionally, the Stratix 10 architecture capture is a useful baseline architecture on which proposed new FPGA features can be evaluated. We capture the device primitives, intra-block connectivity, device floorplans, routing architecture and timing with reasonable fidelity in the human-readable VTR architecture format, enabling easy modification by researchers. Using the updated Titan flow and Stratix 10 capture, we compare the quality of results (QoR), runtime, and resource utilization of VPR to Quartus Prime. The results show that VPR's overall runtime is comparable and its memory footprint is smaller than that of Quartus, but the packer runtime is higher and Quartus achieves better wirelength and frequency. We identify causes of the slower packing runtime in VPR and suggest directions for future improvements.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".