An efficient functional test for the massively-parallel C·RAM logic-enhanced memory architecture
Bibliographic record
Abstract
Computational RAM (C/spl middot/RAM) is a logic-enhanced memory architecture that has already shown promise in several demanding applications. A C/spl middot/RAM chip integrates a conventional memory array along with a linear array of bit-serial processing elements (PEs). The narrow PEs are pitch-matched to the columns of the memory array to access the high internal memory bandwidth and to produce an efficient layout. After a memory row has been accessed, the PEs can perform many thousands of bit-serial operations in parallel on the fetched bits as well as values stored locally in PE registers. We consider the problem of efficiently testing C/spl middot/RAMs for functional faults in the PEs and the memory array. It is shown that the linear array of PEs is a powerful resource that can be used to generate standard memory test patterns. The test time for the PEs plus their local memories is much less than the test time of the memories alone.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".