A graphical software tool with integer linear programming for microcontroller input/output interface selection feasibility
Bibliographic record
Abstract
This paper describes a graphical and interactive software tool to support embedded systems engineering with highly integrated microcontrollers such as the ColdFire MCF54418. Such products have many input/output interfaces that share chip pins, hence not all possible combinations of active interfaces are feasible due to pin conflicts. To address challenges stemming from such conflicts, the software tool described in this paper provides early decision support for selection and subsequent hardware configuration of interfaces. An XML input file describes pins and interfaces of a microcontroller. From this information, the software tool generates an interactive graphical representation for a designer to interactively explore interfaces and pins, to visualize interface conflicts due to shared pins, and to incrementally develop conflict-free interface combinations. More importantly, the tool provides higher-level automated decision support with integer linear programming to solve an optimization problem and conclusively determine whether there exists a feasible conflict-free selection for given specifications on desired types and numbers of interfaces. Finally, for general-purpose input/output, the tool also has a more specialized mode that enables a user to indicate application-specific grouping and direction of pins. From this information, the tool automatically tailors an application programming interface in C code.
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.
How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".