RotR: Rotational redundant task mapping for fail-operational MPSoCs
Why this work is in the frame
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Bibliographic record
Abstract
As transient and permanent failures are rise shrinking process technology, MPSoC systems with fail-operational behavior have become important, especially for safety-critical applications. We therefore propose RotR, a rotational task mapping approach for an active-redundancy-based system to facilitate parallel execution of redundant tasks. RotR maps tasks such that no single failure affects more than one copy of a redundant task, and utilizes a multi-functional voter task that adapts its functionality based on the system's redundancy state after each component failure. RotR mapping and the proposed voter task jointly enable fail-operational behavior by seamlessly transitioning from higher reliability (e.g., Triple Modular Redundancy) to lower reliability (e.g., Double Modular Redundancy) without requiring task remapping. Our results show that RotR improves a system's fault-tolerant lifetime on average by 37% and 48% over standard DMR and TMR systems, respectively. Furthermore, it improves the overall lifetime by 29% compared to the baseline system having no redundancy.
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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 | 0.000 |
| 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