Synthesizable Standard Cell FPGA Fabrics Targetable by the Verilog-to-Routing CAD Flow
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Bibliographic record
Abstract
In this article, we consider implementing field-programmable gate arrays (FPGAs) using a standard cell design methodology and present a framework for the automated generation of synthesizable FPGA fabrics. The open-source Verilog-to-Routing (VTR) FPGA architecture evaluation framework [Rose et al. 2012] is extended to generate synthesizable Verilog for its in-memory FPGA architectural device model. The Verilog can subsequently be synthesized into standard cells, placed and routed using an ASIC design flow. A second extension to VTR generates a configuration bitstream for the FPGA, where the bitstream configures the FPGA to realize a user-provided placed and routed design. The proposed framework and methodology makes possible the silicon implementation of a wide range of VTR-modeled FPGA fabrics. In an experimental study, area and timing-optimized FPGA implementations in 65nm TSMC standard cells are compared to a 65nm Altera commercial FPGA. In addition, we consider augmenting the generic standard-cell library from TSMC with a manually designed and laid-out FPGA-specific cell. We demonstrate the utility of the custom cell in reducing the area of the synthesized FPGA fabric.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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