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Record W2540933070 · doi:10.1109/icsict.2004.1436833

Power management for modern VLSI loads using dynamic voltage scaling

2005· article· en· W2540933070 on OpenAlexafffund
Wai Tung Ng, Olivier Trescases

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsVery-large-scale integrationCMOSElectronic engineeringClock ratePower managementComputer scienceElectrical engineeringDynamic demandVoltageLow-power electronicsDynamic voltage scalingChipEngineeringPower (physics)Power consumptionPhysics

Abstract

fetched live from OpenAlex

Modern deep sub-micron MOS devices suffer from a significant amount of DC leakage power dissipation due to the tunneling current across the ultra-thin gate oxide and off-state drain to source leakage, etc. In this paper, a dynamic voltage scaling (DVS) technique is demonstrated experimentally to provide an automated real-time control of the supply voltage according to the required VLSI core clock frequency. The DVS scheme is made practical with the use of a high efficiency sort-switching DC-DC converter and an on-chip frequency-to-voltage control loop. Using a 0.1 /spl mu/m CMOS CPLD chip to serve as a typical VLSI load, a power saving of greater than 50% at 0.6 times the maximum clock frequency was observed. This DVS architecture is suitable for managing the power consumption of modern VLSI chips where the demand on processing rate varies constantly.

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.

How this classification was reachedexpand

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score0.954

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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2005
Admission routes2
Has abstractyes

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