Investigation of Domain Decomposition of Huge Hybrid Grid
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
In the numerical simulations of aerocraft′s drag,huge hybrid grids with order of million grid points are necessary,and sometimes super hybrid grids whose grid points are more than ten million are required.Before parallel computing,the hybrid grids often need to be partitioned.As for the creation of the huge edgelist that the functions of package Metis need,a parallel algorithm of edgelist's creation is present in this article.Via the algorithm an edgelist of 21,556,110 pieces of edges is created on the cluster from the huge hybrid grid of DLR-F6(wing-body-pylon-nacelle) that has 4,787,893 nodes, then well-proportioned partition is successfully carried out via the multilevel recursive bisection algorithm package Metis supplies,and the effectiveness of the parallel algorithm is shown.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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