Accelerating FPGA Routing Through Parallelization and Engineering Enhancements Special Section on PAR-CAD 2010
Why this work is in the frame
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Bibliographic record
Abstract
We present parallelization and heuristic techniques to reduce the run-time of field-programmable gate array (FPGA) negotiated congestion routing. Two heuristic optimizations provide over 3× speedup versus a sequential baseline. In our parallel approach, sets of design signals are assigned to different processor cores and routed concurrently. Communication between cores is through the message passing interface communications protocol. We propose a geographic partitioning of signals into independent sets to help minimize the communication overhead. Our parallel implementation provides approximately 2.3× speedup using four cores and produces deterministic/repeatable results. When combined, the parallel and heuristic techniques provide over 7× speedup with four cores versus the router in the widely used Versatile Place and Route (VPR) FPGA placement/routing framework, with no significant impact on circuit speed or wirelength.
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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) | 0.000 | 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