Task Partitioning Algorithm based on Rollback for Parallel Network Simulation
Why this work is in the frame
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Bibliographic record
Abstract
One of the research topics on parallel network is how to partition the simulation task more reasonable in order to reduce the simulation time and improve simulation performance. The most commonly used approach for partition task on parallel network simulation is METIS, but it has it shortcomings. In the paper, through analysis on the factors of the performance of parallel network simulation, we improve METIS, and present a new task partitioning algorithm based on rollback. Through improving the local optimum of METIS, the algorithm reduces the number of the remote link by 73.2%, subnet by 28.8%, and the border router by 30.8%, increases the performance of the parallel network simulation by 14%.
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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