A novel hierarchical test generation method for processors
Why this work is in the frame
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Bibliographic record
Abstract
This paper describes a novel method for hierarchical functional test generation for processors. This method targets one embedded module at a time and uses commercial ATPG tools to derive tests for faults within the module. Since the commercial tools are unable to deal with the entire design, functional constraints are first extracted for the module. The extracted constraints are described in Verilog/VHDL and synthesized to the gate level. Then a commercial sequential ATPG is used to generate module level test vectors for faults within the module. Finally, these module level vectors are translated to processor level functional vectors and fault simulated to verify that the same coverage is obtained. Applying the technique to a benchmark processor design, we were able to obtain a test efficiency for the embedded ALU of the processor which was extremely close to what the commercial ATPG could do with complete access to the module.
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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 | 0.000 | 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