Graphics hardware accelerated multiresolution time-domain technique: development, evaluation and applications
Why this work is in the frame
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Bibliographic record
Abstract
Recently, the use of graphics processing units as a means of achieving the hardware acceleration of the finite-difference time-domain (FDTD) technique has attracted significant interest in the computational electromagnetics community. However, the large memory requirements of the FDTD, compounded by the limited memory resources available in graphics processing units, compromise the efficiency of this approach. Alternatively, the authors show how the implementation of the multiresolution time-domain technique in a graphics processing unit can optimally utilise the memory resources of the latter and achieve unprecedented acceleration rates, significantly higher than those achievable by the FDTD. A detailed description of the proposed implementation is provided, followed by rigorous numerical error and performance evaluation studies that conclusively verify the advantages of the graphics accelerated multiresolution time domain. Finally, the potential of this technique as a fast microwave wireless channel modelling tool is demonstrated.
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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 | 0.001 |
| 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