ShuttleNoC: Power-Adaptable Communication Infrastructure for Many-Core Processors
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
Networks-on-chip (NoCs), as the communication infrastructure in many-core processors, has demonstrated remarkable power consumption along with the technology scaling. However, due to the temporal and spatial heterogeneity of the on-chip traffic, one critical problem is that the NoC power consumption cannot effectively adapt to the variation of its traffic intensity, also known as localized power adaptation, hence yielding a suboptimal power efficiency. Prior approaches either resort to the over-provisioned NoC design or coarse-grained bandwidth scaling to partially alleviate excessive power consumption brought by the traffic temporal or spatial heterogeneity. While in this paper, we propose a novel NoC architecture called Shuttle NoC (ShuttleNoC) to address this challenge. It leverages the link reconfiguration to enable flexible packet traversing between multiple subnetworks, and specialized punch lines to accelerate latency sensitive traffic. With the support of the dedicated power adaptation mechanisms, it is shown in the evaluation that the proposed ShuttleNoC architecture could effectively tackle the power and performance tradeoff and significantly boost the power efficiency compared with the state-of-the-art baselines.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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