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Record W1549278323 · doi:10.1109/socc.2004.1362337

Fast techniques for standby leakage reduction in MTCMOS circuits

2004· article· en· W1549278323 on OpenAlex
Wenxin Wang, Mohab Anis, Shawki Areibi

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of WaterlooUniversity of Guelph
Fundersnot available
KeywordsApplication-specific integrated circuitSubthreshold conductionDesign flowLeakage (economics)Computer scienceCMOSElectronic engineeringIntegrated circuit designTransistorMicroelectronicsEmbedded systemIntegrated circuitElectronic circuitSizingElectrical engineeringEngineeringVoltage

Abstract

fetched live from OpenAlex

Technology scaling causes subthreshold leakage currents to increase exponentially. Therefore, effective leakage minimization techniques must be designed. In addition, for a true low-power solution in system-on-chip (SoC) design, it has to be tightly integrated into the main design environment. This paper presents two design techniques to effectively solve the sleep transistor sizing and distribution problem in MTCMOS circuits. The introduced first-fit and set-covering approaches achieve lower leakage at an order of magnitude reduction in CPU time compared with other techniques in the literature. In addition, an automatic MTCMOS design environment is developed and integrated into the Canadian Microelectronics Corporation (CMC) digital ASIC design flow.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score0.531

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)0.0000.000

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 head0.010
GPT teacher head0.215
Teacher spread0.206 · 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

Citations24
Published2004
Admission routes2
Has abstractyes

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