Tailored Interference Mixer(TIM): A Tool for Evaluating Single and Combined Interference Channel in a Multi-Core System
Bibliographic record
Abstract
Multi-core systems have been shown to offer significant advantages in terms of computing capability; however, they are also subject to considerable challenges in meeting airworthiness standards. This is due to the non-determinism that arises from interference between cores through shared resource channels. This paper introduces a Tailored Interference Mixer (TIM), a tool designed to generate ‘attacker’ programs that compete with safety-critical ‘victim’ programs for shared resources such as cache, memory, and buses. The execution of parameterised scenarios enables TIM to quantify the performance degradation caused by single resource contention and combined interference. The experimental findings demonstrate that the degradation in performance resulting from combined interference across multiple shared resources is notably more substantial than that caused by isolated resource contention. These findings underscore the pressing need for a more comprehensive interference analysis activity to be incorporated within aviation certification processes.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".