Design of High-Performance Power-Aware Asynchronous Pipelined Circuits in MOS Current Mode Logic
Bibliographic record
Abstract
This paper introduces the implementation of multi-GHz power-aware asynchronous pipelined circuits in MOS current-mode logic (MCML). The C-element and double-edge-triggered flip-flop are implemented in MCML and used in the so-called micropipeline circuits. An input data detector is proposed to put the inactive combinational logic into sleep mode. The effects of different layout techniques on the performance and power dissipation of an MCML FIFO are also investigated. Based on post-layout simulation results in a standard 0.18 /spl mu/m CMOS technology, an asynchronous MCML four-stage FIFO demonstrates a throughput of 4 GHz while dissipating 3.7 mW. The MCML C-element dissipates up to 4/spl times/ less power compared to its conventional static counterpart at the same throughput of 1.9 GHz. The asynchronous MCML pipelined four-bit carry-look ahead adder with power-saving mechanism reduces the power dissipation by 32% compared to the one without the power-saving mechanism. The power overhead of the input data detector is only 0.23 mW. The input data detector shuts off the stage power in 2 ns and restores the stage in 150 ps after the presence of the new input.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".