Register File Architecture Optimization in a Coarse-Grained Reconfigurable Architecture
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Bibliographic record
Abstract
This paper investigates the impact of the local and global register file architecture on a reconfigurable system based on the ADRES architecture. The register files consume a significant amount of area on the reconfigurable device, and their architecture has a strong impact on the performance. We found that the global registers should be tightly connected to as many functional units as possible, while the connection of the local register files to their neighbours is less critical. We found that the global register file should contain between 12 and 16 registers, while each local register file should only contain one or two registers. We used these results to propose a new architecture that has between 60% and 95% higher performance per unit area compared to the original architecture over the set of benchmarks.
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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 | 0.001 |
| 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) | 0.001 | 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