An automated fault injection for evaluation of LUTs robustness in SRAM-based FPGAs
Why this work is in the frame
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Bibliographic record
Abstract
A new fault injection approach targeting the LUTs configuration bits of the Xilinx SRAM-based FPGAs is presented. It allows identifying all the configuration bits used by the LUTs of a specific design to inject Single Event Upsets (SEUs) and Multiple Bit Upsets (MBUs). The identification of the LUTs configuration bits is done by comparing the EBC files of a specific design before and after modifying its XDL file by inverting the LUTs logic functions. The fault injection is ensured by a fault injection macro provided by Xilinx. A Python script is deployed to automate the fault injection procedure. The proposed approach does not require extra tools to identify LUTs configuration bits and offers a 100% of fault coverage and is applicable to new Xilinx FPGA generations.
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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 | 0.002 | 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