Design and Applications for Embedded Networks-on-Chip on FPGAs
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
Field-programmable gate-arrays (FPGAs) have evolved to include embedded memory, high-speed I/O interfaces and processors, making them both more efficient and easier-to-use for compute acceleration and networking applications. However, implementing on-chip communication is still a designer's burden wherein custom system-level buses are implemented using the fine-grained FPGA logic and interconnect fabric. Instead, we propose augmenting FPGAs with an embedded network-on-chip (NoC) to implement system-level communication. We design custom interfaces to connect a packet-switched NoC to the FPGA fabric and I/Os in a configurable and efficient way and then define the necessary conditions to implement common FPGA design styles with an embedded NoC. Four application case studies highlight the advantages of using an embedded NoC. We show that access latency to external memory can be ~1.5× lower. Our application case study with image compression shows that an embedded NoC improves frequency by 10-80%, reduces utilization of scarce long wires by 40% and makes design easier and more predictable. Additionally, we leverage the embedded NoC in creating a programmable Ethernet switch that can support up to 819 Gb/s-5× more switching bandwidth and 3× lower area compared to previous work. Finally, we design a 400 Gb/s NoC-based packet processor that is very flexible and more efficient than other FPGA-based packet processors.
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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