NoC prototyping on FPGAs: A case study using an image processing benchmark
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
Network-on-Chip (NoC) approach is emerging as an effective paradigm which addresses the shortcomings of traditional bus-based systems relating to scalability and efficiency for large System-on-Chip (SoC) designs. A significant amount of theoretical work has been done exploring various NoC architectures. But only a handful of studies have demonstrated actual implementation of NoC-based systems for real world applications. These studies provide greater practical insight compared to theoretical studies that rely solely on simulations from traffic generators. Prototyping NoC-based systems for real world applications enables more detailed performance evaluation based on metrics such as area and speed. In this paper, we present a NoC-based Field-Programmable System-on-chip (FPSoC) that is used to implement an image processing benchmark as a real world application. We discuss the challenges of developing an NoC-based system for FPGA implementation and assess the NoC's potential for future development.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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