Layout-based Vulnerability Analysis of LEON3 Processor to Single Event Multiple Transients using Satisfiability Modulo Theories
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
With the reduction in transistor size, the radiation-induced soft error phenomenon in electronic circuits has become a significant reliability concern. In newer technologies, a high energy particle strike can affect multiple cells resulting in Single Event Multiple Transients (SEMTs). For an event affecting n cells horizontally, the SEMT pattern will be aliased as SEMTn. In this paper, we present a framework to estimate the SEMT vulnerability of the LEON3 processor by using Satisfiability Modulo Theories. This framework considers layout-based cell adjacency as error sites and includes the Electrical, Logical masking factors while estimating the vulnerability. The results indicate an overall average SEMT fault propagation probabilities of 30% and 54% due to the effects of SEMT3 and SEMT4, respectively. The total time to analyze the fault effects following our methodology is approximate 8.5 hours for the LEON3 ASIC Core on a server with 160 x Intel(R) Xeon(R) 10-core E7-8870 CPU running at 2.40GHz and with 1 TB of Main Memory.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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