ERAVC: Enhanced reliability aware NoC router
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
The continuing advances in processing technology result in significant decreases in the feature size of integrated circuits. This shrinking leads to increases in susceptibility to transient errors and permanent faults. Network on Chips (NoCs) are poised to address the demands for high bandwidth communication among processing elements. The structural redundancy inherited in NoC-based design can be exploited to improve reliability and compensate for the effects of failures in digital systems. In this paper, we propose an enhanced fault tolerant micro-architecture for NoC routers. The proposed router supplies dynamic virtual channel allocation using Unified Buffer Structure (UBS) and History Aware Free-slot Tracker (HAFT). Plus, to reduce the associated performance costs of retransmissions in the case of failure, the proposed router employs a high-performance fault tolerant control flow, handling both transient and permanent faults without extra retransmission buffer requirements. Experimental results show a significant improvement in reliability as well as decreases in the average latency and energy consumption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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