Architecture of a test structure for verification of libraries of standard elements in silicon based on a pipeline-distribution approach
Bibliographic record
Abstract
The paper proposes an architecture of a test structure for verifying libraries of standard cells in silicon, based on a pipeline-distributive approach. This approach allows reducing both the number of inputs and outputs and the area occupied by the test structure on a crystal in comparison with traditional approaches. The components of the test structure and the relationships between them are listed. The main attention is paid to the use of multiplexers and demultiplexers for controlling the processes of selection, control and output of signals. Several options for arrang-ing auxiliary hierarchical blocks and the corresponding blocks of automated formation of input actions for combinational cells are considered. A numerical assessment of the characteristics of each of the considered options is performed. A comparative analysis of the application of the proposed test structure for verifying libraries of standard digital elements in silicon is carried out. The proposed architecture was successfully applied in a test crystal for verification of three libraries of standard elements developed using the basic technology of JSC MERI CMOS 90 nm. The completeness of verification of the proposed test structure compared to the use of circuits from the ISCAS’85/89 sets is 6.19-6.31 times greater and reaches 99.94%. The area of the proposed structure is 2.29-4.65 times smaller.
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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 | 0.000 | 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 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".