ANALYSIS OF A LATENCY HIDING BROADCASTING ALGORITHM ON A RECONFIGURABLE OPTICAL INTERCONNECT
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Bibliographic record
Abstract
Free-space optical interconnection is used to fashion a reconfigurable network. Since network reconfiguration is expensive compared to message transmission in such networks, latency hiding techniques can be used to increase the performance of collective communications operations. Berthome and Ferreira have recently proposed a broadcasting algorithm for their loosely-coupled optically reconfigurable parallel computer where they have shown that the total number of nodes, N(S), informed up to step S follows a recurrence relation. We have adapted their algorithm to our reconfigurable optical network, RON (K, N), which has slightly different modeling. We present a new analysis of this broadcasting algorithm on our network. This paper contributes by providing closed formulations for the N(S) that yield the termination time for both single-port and k-port modeling. The derived closed formulate are easier to computer than the recurrence relations.
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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