Conservative synchronization methods for parallel DEVS and Cell-DEVS
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Bibliographic record
Abstract
synchronization, null message, centralized synchronization. We present three conservative synchronization mechanisms for parallel DEVS and Cell-DEVS. The protocols are based on the classical Chandy-Misra-Bryant null message mechanism with deadlock avoidance. Our protocols provide a novel DEVS-based conservative approach that is deadlockfree, and extracts the lookahead information from the model’s specification. The protocols are integrated into the CD++ simulation toolkit, providing a conservative simulator (named CCD++) for running large-scale DEVS and Cell-DEVS models in parallel and distributed fashion. We provide a comparative study of these protocols by investigating different performance metrics including: total execution time, blocked time, memory consumption, total number of positive and null event, as well as null message ratio, showing how CCD++ provides considerable speedups, and its ability for simulating large DEVS-based models. 1.
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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 | 0.001 |
| 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) | 0.001 | 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