FLNR: A fast light-weight NoC router for FPGAs
Why this work is in the frame
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Bibliographic record
Abstract
Currently, FPGAs serve as Field-Programmable-Systems-on-Chip (FPSoCs) and are widely used to implement computationally intensive real world applications. As the number of components in FPSoCs increase, the interconnect schemes based on Network-on-Chip (NoC) approach are increasingly being used to overcome the deficiencies of the traditional bus- based and point-to-point interconnect schemes. The router is a key component that greatly impacts the performance and cost of an NoC. In this paper we present FLNR, a fast light-weight NoC router designed for FPGAs. It is a 5-port packet switched wormhole router that uses a deterministic XY Routing algorithm and round robin arbitration scheme. The size of the input buffers and the flit size are parameterizable. We used novel techniques to achieve good speed performance while minimizing the area used. The number of control fields in a packet is minimized to reduce the size of buffers used. Credit based flow control is used to reduce the number of clock cycles required for transferring each flit. Both edges of the clock are used to implement router operations thereby speeding up the router. FLNR is compared to other proposed routers based on three metrics: area, frequency and zero load latency. Synthesis results and zero load latency evaluations show that our router is significantly superior to widely referenced, previously proposed routers.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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