A platform for parallel CFD FEM computations
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
It is a time consuming and very skilful task for researchers or developers in computational mechanics to modify a program, designed for a single processor, to one suitable for parallel computation. This is a serious bottleneck in parallel computation, even though a general-purpose parallel computational library, such as MPI, is applied to this modification. We have developed a parallel matrix solver platform, based on a domain decomposition method, for various numerical schemes such as the finite element method (FEM), the finite difference method and the finite volume method, to accelerate a smooth shift to the realm of parallel computation. Parallel software such as PETSc, Aztec, GEOFEM and ADVENTURE have already been developed, however these systems are more suitable for professionals in parallel computation and not valid for our purpose. In our platform, a user is merely required to call the platform at the stage of stiffness matrix calculation. GMRES and Bi-CGSTAB with several pre-conditioners are used as a basic matrix solver. The option of invoking a Lagrange-multiplier is also included. For partitioning, a fast graph generator for arbitrary elements and an interface with MeTis are provided. Our platform is valid for a variety of hardware, including a single processor based workstation, through the exchange of Makefilein. The effectiveness of our platform is evaluated with several examples in the area of finite element fluid dynamics in this paper.
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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 | 0.001 |
| 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