MétaCan
Menu
Back to cohort
Record W2035757957 · doi:10.1109/iscas.2014.6865361

A compact on-chip IR-drop measurement system in 28 nm CMOS technology

2014· article· en· W2035757957 on OpenAlexaff
Sebastian Dietel, Sebastian Höppner, Holger Eisenreich, Georg Ellguth, Stefan Hänzsche, Stephan Henker, René Schüffny, Tim Brauninger, U. Fiedler

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsInfineon Technologies (Canada)
FundersBundesministerium für Bildung und Forschung
KeywordsCMOSWaveformElectronic engineeringVoltageChipAsynchronous communicationNoise (video)Sampling (signal processing)Computer scienceElectrical engineeringEngineeringDetectorTelecommunications

Abstract

fetched live from OpenAlex

A sensor system for measuring the power-ground (PG) noise in very large scale integrated circuits is presented. The proposed system utilizes sensor elements with standard cell dimensions enabling high spatial resolution voltage measurements of power and ground rails. Asynchronous sub-sampling is used to directly convert the analog signals into the digital domain inside the sensors to ensure precise waveform acquisition. Timing signals are derived from a all-digital phase-locked-loop (ADPLL) which guarantees accurate low-noise sampling of the supply waveforms. The sensor system has been implemented in a 28nm CMOS test chip. Simultaneous acquisition of voltage drop and ground bounce at 300 probe points within a 120μm × 120μm macro at 62.5 ps time and up to 250μV voltage resolution shows the capabilities of both, high spatial and high temporal resolution measurement of PG noise.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.509

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 head0.013
GPT teacher head0.202
Teacher spread0.189 · 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 designBench or experimental
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

Citations8
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicElectromagnetic Compatibility and Noise SuppressionFrench-language works237,207