WCET(m) Estimation in Multi-core Systems Using Single Core Equivalence
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
Multi-core platforms represent the answer of the industry to the increasing demand for computational capabilities. From a real-time perspective, however, the inherent sharing of resources, such as memory subsystem and I/O channels, creates inter-core timing interference among critical tasks and applications deployed on different cores. As a result, modular per-core certification cannot be performed, meaning that: (1) current industrial engineering processes cannot be reused, (2) software developed and certified for single-core chips cannot be deployed on multi-core platforms as is. In this work, we propose the Single Core Equivalence (SCE) technology: a framework of OS-level techniques designed for commercial (COTS) architectures that exports a set of equivalent single-core virtual machines from a multi-core platform. This allows per-core schedulability results to be calculated in isolation and to hold when multiple cores of the system run in parallel. Thus, SCE allows each core of a multi-core chip to be considered as a conventional single-core chip, ultimately enabling industry to reuse existing software, schedulability analysis methodologies and engineering processes.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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