Compact Area and Performance Modelling for CGRA Architecture Evaluation
Why this work is in the frame
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Bibliographic record
Abstract
We present area and performance models for use in coarse-grained reconfigurable array (CGRAs) architectural exploration. The area and performance models can be computed rapidly and are incorporated into the open-source CGRA-ME architecture evaluation framework. Area is modelled by synthesizing (into standard cells) commonly occurring CGRA primitives in isolation, and then aggregating the component-wise areas. For performance, we incorporate a fully fledged static-timing analysis (STA) framework into CGRA-ME. The delays in the STA timing graph are annotated based on: 1) a library component-wise delays for logic/memory, and 2) a fanout-based delay estimation model for interconnect. Performance and area are modelled for both performance-optimized and area-optimized standard-cell CGRA implementations. Accuracy of the area and performance models is within 7% and 10%, respectively, of a fully laid-out standard-cell CGRA implementation.
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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 | 0.001 | 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