Impact of FPGA Architecture on Area and Performance of CGRA Overlays
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Bibliographic record
Abstract
Coarse-grained reconfigurable arrays (CGRAs) are programmable logic devices with ALU-style processing elements and datapath interconnect. CGRAs can be realized as custom ASICs or implemented on FPGAs as overlays . A key element of CGRAs is that they are typically software programmable with rapid compile times - an advantage arising from their coarse-grained characteristics, simplifying CAD mapping tasks. We implement two previously published CGRAs as overlays on two commercial FPGAs (Intel and Xilinx), and consider the impact of the underlying FPGA architecture on the CGRA area and performance. We present optimizations for the overlays to take advantage of the FPGA architectural features and show a peak performance improvement of 1.93x, as well as maximum area savings of 31.1% and 48.5% for Intel and Xilinx, respectively, relative to a naive first-cut implementation. We also present a novel technique for a configurable multiplexer implementation, which embeds the select signals into SRAM configuration, saving 35.7% in area. The research is conducted using the open-source CGRA-ME (modeling and exploration) framework [1].
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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