RAAP-CGRA: Placement for CGRAs with Restricted Routing Architectures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Coarse-grained reconfigurable arrays (CGRAs) are programmable hardware devices that are word-level configurable, and can be used to implement application-specific accelerators, particularly for applications that can benefit from spatial and pipeline parallelism. A considerable portion of a CGRA’s silicon area is dedicated to realizing programmability, and it is desirable to reduce this overhead, while retaining flexibility and application mappability. This work considers CAD techniques for CGRAs with reduced interconnect flexibility. Specifically, we introduce Routing-Architecture-Aware Placement for CGRAs, RAAP-CGRA, comprising CGRA placement schemes suitable for CGRAs with restricted routing architectures. At a high level, the proposed schemes penalize placements likely to be unroutable due to architectural routing constraints. Experiments on three constrained CGRA architectures show our approaches significantly improve the success rate of mapping compared to a simulated-annealing-based baseline. For one CGRA architecture with restricted routing, a baseline mapper had an 11% average success rate, while one of the proposed mappers achieved a 61% success rate.
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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