Dynamic combined pattern-parallel and fault-parallel fault simulation on computational RAM
Bibliographic record
Abstract
Computational RAM (C/spl middot/RAM) is a logic-enhanced memory architecture that supports massively-parallel bit-serial computation. Previous work (J.A. Waicukauski et al., 1987; B.F. Cockburn et al., 1998, A.L.-C. Kwong, 1998) investigated the implementation of fault-parallel and pattern-parallel fault simulation algorithms on C/spl middot/RAM. The fault-parallel strategy was found to be efficient at the start of the simulation but inefficient at the end. The converse behaviour was observed for the pattern-parallel strategy. A dynamic hybrid algorithm combines the fault-parallel and pattern-parallel strategies in an adjustable proportion so as to obtain the best aspects of both. This paper describes a dynamic hybrid fault simulator for C/spl middot/RAM that models the detection in combinational logic of stuck-at faults, transition faults of order 1, and CMOS transistor stuck-open faults.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 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".