Latency Reduction of Global Traffic in Wormhole-Routed Meshes Using Hierarchical Rings for Global Routing
Why this work is in the frame
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Bibliographic record
Abstract
The mesh network-on-chip (NoC) topology has its drawbacks in the communication latency scalability, and the concentration of the traffic in the center of the mesh. We propose a topology where a traditional wormhole-routed mesh network is augmented by a hierarchical ring interconnect for routing global traffic. In addition to the topology, the routing strategies have a large impact on system performance. We compare the performance of a deterministic and adaptive routing strategy when applied to our augmented topology. A SystemC modeling platform was used to compare the traditional wormhole–routed mesh with the augmented architecture. The proposed architecture reduces the average latencies incurred by global traffic, while the application of a adaptive routing strategy can further increase performance.
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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 | 0.001 |
| 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