Reducing fault sensitivity of microprocessor-based systems by modifying workload structure
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
The use of off-the-shelf components in microprocessor-based systems can limit the applicability of a number of hardware fault-tolerance methods. Software techniques offer attractive solutions to improve the reliability of systems operating in a hostile environment. The fault sensitivity of a system running a critical application obviously depends on the application execution time and the amount of memory it uses. This study shows that the program structure also has a significant influence on fault sensitivity. Program characteristics, such as the size and duration of iterative and sequential sections, are required to determine the sensitivity profile. It is shown that, provided data dependency is not affected one can rearrange the program structure to significantly reduce the average sensitivity of a program. Straightforward analysis of the sensitivity profile allows one to estimate the reduction. A simple example of code rearrangement is described and it is shown that a 50% reduction could be achieved with respect to the initial structure. The magnitude of the reduction varies from one application to another.
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