Layout-based Vulnerability Analysis of LEON3 Processor to Single Event Multiple Transients using Satisfiability Modulo Theories
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.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".