Demo abstract: Atacama — An open research platform for mixed-criticality communication in ethernet
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
Ethernet is widely recognized as an attractive networking technology for modern distributed real-time systems. However, standard Ethernet components require specific modifications and hardware support to provide strict latency guarantees necessary for safety-critical applications. Although this is a well-stated fact, the design of hardware components for real-time communication remains mostly unexplored. This becomes evident from the few solutions reporting prototypes and experimental validation, which hinders the consolidation of Ethernet in real-world distributed applications. This demonstration introduces Atacama, a framework for mixed-criticality communication on multi-hop Ethernet networks. Atacama is the first solution providing an open-source FPGA-based hardware implementation to enable rapid prototyping and experimental validation. Details about the synthesizable modules and design tools are available for researchers to modify and build upon. The demonstration will provide an overview of the design and functional principles of the framework, and show experimental evidence of the achieved timing properties using implemented prototypes.
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 | 0.001 | 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 | 0.002 | 0.002 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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