A body-bias based current sense amplifier for high-speed low-power embedded SRAMs
Bibliographic record
Abstract
Advances in CMOS technology has resulted in ever growing demand in on-chip high-density low-power SRAMs. A miniaturized low voltage-operated SRAM cell ability to generate adequate swing on heavily loaded bitlines is a serious design concern. In addition, Process, Voltage and Temperature variation PVTs in nanometric CMOS regime results in significant SARM cell parameters deviation. Sense amplifier offset voltage is the bottleneck in successful SRAM read operation. Therefore, offset voltage-insensitive current sense amplifiers are usually adopted in high performance SARMs. Read-assist techniques start to merge in the sate-of-the-art high-speed low-power SRAMs. This work presents a new high speed low power current sense amplifier. The proposed scheme utilizes transistor body bias to control the bitlines differential current. Monte Carlo simulations are conducted to validate the proposed scheme performance in presence of PVTs variations. Compared to conventional schemes, up to 28% in read failures reduction at 25mV bitlines swing is achieved. In addition, a 41% improvement in speed and up to 2.5X times less bitlines swing requirement at 0.6 V operating voltage is also verified.
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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) | 0.001 | 0.001 |
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".