Adaptive VC Organization and Arbitration for Efficient NoC Design
Bibliographic record
Abstract
Network-on-Chip (NoC) has emerged as one of the main communication structure suitable for the interconnection of processing and other IP cores of a system-on-chip (SoC). An NoC typically utilizes virtual channels (VCs) to improve wormhole routing among the SoC cores by enabling multiple data packets to share a communication channel and to avoid deadlocks. Dynamically allocation multi queues based VC organization has higher buffer utilization but it also has some problems such as complexity, setup limitation, etc. Arbitration is also an important part of NoC routers. Past arbitration techniques have some problems that are related to lower speed, fairness, and router pipelining. We present a novel NoC router (RDQ-IRR-v2) architecture that incorporates some solutions to all of these problems. The router design utilizes adaptive VC buffering and index based arbitration techniques. The experiments and simulations indicate the efficiency of our proposed NoC router in terms of power consumption, chip area, frequency of router as well as latency and throughput related performance metrics in different NoC configurations and for various traffic patterns.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".