Mapping Wired Links in a Hybrid Wired-Wireless Network-on-Chip
Why this work is in the frame
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Bibliographic record
Abstract
The use of hybrid Networks-on-Chip has increased in the scenario of communication in MP-SoCs, combining the advantages of different approaches. While a wired-wireless network can bring improvements in latency and power consumption, in some scenarios it presents a greater packet loss rate than in wired NoCs during communication. The purpose of this paper is to map the links that interconnect the wired and wireless routers so that we can optimize the network and achieve a trade-off between the average latency of the network and the number of delivered packets. To assess the mapping, three different topologies are tested, along with three different traffic patterns and three different injection rates. Experimental results show that for most cases it was possible to optimize the hybrid networks, achieving up to 80% of delivered packets, while reducing latencyby rates up to 5 times.
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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) | 0.000 | 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