SAR-MemPipe: A Hybrid Pipeline-SAR Memristive ADC for Analog Resistive Arrays
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Bibliographic record
Abstract
This paper presents a hybrid pipeline SAR ADC with a loop-unrolled structure to reduce the crossbar’s ADC power while maintaining high speed. The 1<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> stage memristive SAR ADC can fully utilize the TIA originally in the crossbar and avoid the extra MDAC in pipeline ADC. Further, memristive weight calibration and a new resistive alternated binary search are implemented on the 1<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> stage to maintain the TIA gain and ADC’s accuracy. Both stage’s ADC are loop-unroll to eliminate the delay brought by SAR logic for high speed. Through multiple simulations, the design is demonstrated to be robust to the frequency and mismatch variations with the highest sampling frequency reaching 300MHz and SNDR up to 65.1dB in 9MHz input. The power consumption is designed to be as low as 6.7mW, which helps the ADC to achieve a 15.2fJ/conv FoM. Not limited to the crossbar, the presented ADC also shows promising potential for applications in various fields (biomedical, IoT etc.) for general purposes.
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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