Academic Clustering and Placement Tools for Modern Field-Programmable Gate Array Architectures
Bibliographic record
Abstract
Academic Clustering and Placement Tools \nfor Modern Field-Programmable Gate Array Architectures \nDaniele Giuseppe Paladino \nMasters of Applied Science \nGraduate Department of Electrical and Computer Engineering \nUniversity of Toronto \n2008 \n \n \nAbstract \n \nAcademic tools have been used in many research studies to investigate Field-Programmable Gate Array (FPGA) architecture, but these tools are not sufficiently flexible to represent modern commercial devices. This thesis describes two new tools, the Dynamic Clusterer (DC) and the Dynamic Placer (DP) that perform the clustering and placement steps in the FPGA CAD flow. These tools are developed in direct extension of the popular Versatile Place and Route (VPR) academic tools. We describe the changes that are necessary to the traditional tools in order to model modern devices, and provide experimental results that show the quality of the algorithms achieved is similar to a commercial CAD tool, Quartus II. Finally, a small number of research experiments were investigated using the clustering and placement tools created to demonstrate the practical use of these tools for academic research studies of FPGA CAD tools.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".