Parallelizing Simulated Annealing-Based Placement Using GPGPU
Why this work is in the frame
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Bibliographic record
Abstract
Simulated annealing has became the de facto standard for FPGA placement engines since it provides high quality solutions and is robust under a wide range of objective functions. However, this method will soon become prohibitive due to its sequential nature and since the performance of single-core processor has stagnated. General purpose computing on graphics processing units (GPGPU) offers a promising solution to improve runtime with only commodity hardware. In this work, we develop a highly parallel approach to simulated annealing-based placement using GPGPU. We identify the challenges posed by the GPU architecture and describe effective solutions. An average speedup of about 10× was achieved over conventional placement within 3% of 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