Generic crossbar network on chip for FPGA MPSoCs
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
Networks-on-chip (NoCs) have emerged as a new design paradigm to implement MPSoCs that competes with the standard bus approach. They offer more scalability, flexibility, and bandwidth. Nevertheless, FPGA manufacturers still use the bus paradigm in their development frameworks. In this paper, we study the complexity and performances of a FPGA implementation for a crossbar NoC. We propose a generic architecture and characterize its complexity, maximum frequency of operation, and global throughput for NoCs supporting 2 to 8 nodes. Results show that FPGA-based designs would benefit from such architecture when high throughput must be reached. Finally, we present a fully functional 3times3 NoC interconnecting a PowerPC and 2 Xtensa processors implemented in a VirtexII Pro FPGA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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