Novel Flow Control for Fully Adaptive Routing in Cache-Coherent NoCs
Why this work is in the frame
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Bibliographic record
Abstract
Routing algorithms for cache-coherent NoCs only have limited VCs at their disposal, which poses challenges to the design of routing algorithms. Existing fully adaptive routing algorithms apply conservative VC re-allocation: only empty VCs can be re-allocated, which limits performance. We propose two novel flow control designs. First, whole packet forwarding (WPF) re-allocates a nonempty VC if the VC has enough free buffers for an entire packet. WPF does not induce deadlock if the routing algorithm is deadlock-free using conservative VC re-allocation. It is an important extension to several deadlock avoidance theories. Second, we extend Duato's theory to apply aggressive VC re-allocation on escape VCs without deadlock. Finally, we propose a design which maintains maximal routing flexibility with low hardware cost. For synthetic traffic, our design performs averagely 88.9 percent better than existing fully adaptive routing. Our design is superior to partially adaptive and deterministic routing.
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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