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Record W1546705134 · doi:10.1109/asic.2002.1158055

Power reduction via an MTCMOS implementation of MOS current mode logic

2003· article· en· W1546705134 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCMOSCurrent-mode logicElectronic engineeringReduction (mathematics)Logic gateComputer sciencePower (physics)Low-power electronicsVoltageThreshold voltageElectrical engineeringVoltage reductionEngineeringTransistor

Abstract

fetched live from OpenAlex

In this paper, MOS current mode logic (MCML) is implemented in a multi-threshold CMOS technology. The design scheme allows the reduction of the minimum operational supply voltage, as well as the elimination of level shifters used. A high-speed 1:8 2.5 Gbit/s demultiplexer is used as a test vehicle. A 37% power saving is achieved. Furthermore, the impact of using the MTCMOS implementation over circuit parameters such as output impedance, current-matching-ratio, common-mode-rejection-ratio, gain, threshold voltage fluctuations and frequency response is investigated. This work is important for industry since the MTCMOS technique opens a new alley for reducing power in MCML high-speed implementations while attaining the required data rates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.284
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations31
Published2003
Admission routes1
Has abstractyes

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