Alternate Parallelization Strategies for FETD Formulations
Bibliographic record
Abstract
Alternative strategies for accelerating the Finite-Element Time-Domain (FETD) method on parallel architectures are presented in this chapter. A highly parallelizable approach known as the Finite-Element Gaussian Belief Propagation (FGaBP) method is introduced and explored as a means of parallelizing FETD computations on Graphics Processing Units (GPUs) and multi-core Central Processing Units (CPUs). Two types of nonlinear problems, namely nonlinear media and nonlinear multi-physics couplings, are studied in this chapter. In case of nonlinear media, GPU implementation of FGaBP demonstrates substantial speedup as compared to conventional serial CPU implementations. As for the multi-physics problem, the multicore FGaBP algorithm not only exhibits parallel scalability, but also achieves faster execution times as compared to a highly optimized opensource library.
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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) | 0.073 | 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".