<scp>EPICS</scp> on the <scp>RTEMS</scp> real-time executive for multiprocessor systems
Bibliographic record
Abstract
The Experimental Physics and Industrial Control System (EPICS) software is used in Synchrotron Radiation facilities around the world. An obstacle blocking small research groups such as beamline developers from using, or at least evaluating, EPICS has been the need to purchase the commercial operating system used by the EPICS base software. The goal of recent EPICS development has been to remove this requirement by allowing EPICS to run on a much wider range of operating systems. This article presents the results of this development for one particular operating system, the freely available, open-source, Real-Time Executive for Multiprocessor Systems (RTEMS). The capabilities of RTEMS are described and shown to provide an adequate basis for supporting EPICS. Performance comparisons between previous versions of EPICS and the RTEMS implementation are presented. Ongoing efforts to add support for more hardware are described.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.069 | 0.043 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".