Concentrator Access Networks for Programmable Logic Cores on SoCs
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Bibliographic record
Abstract
The inclusion of programmable logic cores in modern SoC motivates the need for an access network to make full use of this resource. The programmable nature of these cores removes the requirement of input/output ordering on this access network. Theoretical work on a class of unordered networks called concentrators has shown that as these networks become large, they have a lower cost than ordered or permutation networks. However, currently known constructions of concentrator networks are not lower cost than permutation networks for the entire range of networks of the size required for SoC. This paper demonstrates the differences in the cost and depth of concentrator and permutation networks. It also presents a new construction of a concentrator network that has lower cost and depth than a permutation network for all configurations.
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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 | 0.000 |
| 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