A novel reduced swing CMOS bus interface circuit for high speed low power VLSI systems
Bibliographic record
Abstract
Major applications of CMOS VLSIs require the use of high fan out busses, such as Asynchronous Transfer Mode (ATM) cross-bar switching matrices, high performance processors employing multiple busses, and high performance CPLDs using universal interconnection matrices. The bus interface circuits are major contributors to the power dissipation of a system for achieving high clocking frequencies. To address the increased power dissipation for high speed busses, a novel reduced voltage swing CMOS bus interface circuit is presented here. The design is a combination of drivers and receivers which perform level translation without any need to reduce the supply voltage. The simulation results based on these circuits show significant enhancements on both speed and power in comparison with the conventional CMOS tri-state driver techniques. To further assess this design, an LSI 32/spl times/32 crosspoint switch is implemented to be used for ATM communication systems. The chip uses a 1.2 /spl mu/m CMOS process with a die size of 4/spl times/3 mn, and has pseudo ECL input/output compatible interfaces which can operate at 250 Mb/s serial communication links per channel. The power consumption at 250 Mb/s is 0.6 W which is 60% lower than other published results for a similar switch. Without the input/output pad restrictions, the simulation results indicate that the switching matrix is capable of running at 622 Mb/s with a similar power reduction.>
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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 | 0.000 |
| 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) | 0.007 | 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 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".