Parallelization of radiation transport on unstructured triangular grids with spatial decomposition a
Bibliographic record
Abstract
Parallel computing can be of critical importance to the deterministic solution of radiation transport equations, especially with respect to solving the transport process within highly variable media with complex geometries. We propose an approach that extends the Alternating Direction of Transport Sweeps (ADTS) method of M. Yavus and E.D. Larson to unstructured triangular grids, using the Recursive Spectral Bisection (RSB) algorithm to partition our domain and OpenMP to implement the parallelism on shared memory computers. Our results, using a neutron transport test case, show that the ADTS method with the RSB algorithm leads to a significant increase in the parallel convergence rate, resulting in improved parallel efficiency, and thus improved turnaround time. We emphasize that excellent parallel efficiency is possible using domain decomposition and an SPMD-OpenMP implementation.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".