Fine-grain Parallel Smoothing by Asynchronous Iterations and Incomplete Sparse Approximate Inverses for Computational Fluid Dynamics
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Bibliographic record
Abstract
We demonstrate the use of fine-grain parallel iterations in multigrid smoothers for computational fluid dynamics. Asynchronous iterations, incomplete sparse approximate inverses and their combinations are proposed and their effectiveness studied for a few benchmark cases of external aerodynamics. Our implementations of these solvers have focused on exploiting the wide vector units and the large number of cores on the Xeon Phi Knights Landing processors. The new smoothers have been tested on some benchmark aerodynamics cases. Two of the proposed solvers, block symmetric Gauss-Seidel and asynchronous block incomplete LU factorization, both with incomplete sparse approximate inverse application, have been found to be promising.
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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