An application of high performance computing to improve linear acoustic simulation
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
A model describing the acoustic field resulting from an acoustic source vibrating in a rigid planar baffle is found to be computationally intensive if the field values are computed sequentially. The temporal complexity of the model is firstly due to the large number of computations required to integrate over the surface area of an arbitrarily-shaped source and secondly, due to the volume of the acoustic field itself. Thus, the model is assessed and it's workload characterization derives directly from the data-level parallelism inherent in the computation of the acoustic field. Two high performance computing approaches are developed and lead to improvements in both the precision and efficiency of the model with computation speedups that are beyond theoretical expectations.A further reduction in temporal complexity is introduced as a result of the axial-symmetric properties of the acoustic fields. The result is a particularly useful tool for high performance simulation of 3-dimensional ultrasound fields generated by realistic sources in various fluid media.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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