MétaCan
Menu
Back to cohort
Record W2161769397 · doi:10.1142/s0129156402001472

FULL-CHIP POWER-SUPPLY NOISE: THE EFFECT OF ON-CHIP POWER-RAIL INDUCTANCE

2002· article· en· W2161769397 on OpenAlex
C. W. FOK, D.L. Pulfrey

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of High Speed Electronics and Systems · 2002
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPower network designInductanceElectrical engineeringElectronic engineeringNoise (video)ChipPower (physics)Switched-mode power supplyEngineeringComputer sciencePhysicsVoltage

Abstract

fetched live from OpenAlex

The importance of on-chip power-rail inductance in generating delta-I power-supply noise is examined in this paper using systematic circuit simulation of the complete integrated-circuit power net. This source of noise is compared to the resistive IR drop in the net, and to the delta-I noise due to both high-inductance- and low-inductance-bonding packages. Results are presented for a typical on-chip power net in 0.18 μm CMOS technology, and it is demonstrated that the inductance of this on-chip power net is the dominant contributor to the full-chip power-supply noise. The simultaneous switching events which produce the triggering current transients for the delta-I noise are taken to arise from core-logic switching; the mitigating, de-coupling role of the capacitance of non-switching gates within the core-logic block is considered.

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)0.001
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: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.006
GPT teacher head0.214
Teacher spread0.207 · 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