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TIME-INTERLEAVED MIXED-SIGNAL TEST CORE DIGITIZERS

2021· article· en· W3207568191 on OpenAlexaff
Chris Taillefer, Gordon W. Roberts

Bibliographic record

VenueSYNCHROINFO JOURNAL · 2021
Typearticle
Languageen
FieldComputer Science
TopicVLSI and Analog Circuit Testing
Canadian institutionsMcGill University
Fundersnot available
KeywordsElectronic engineeringMixed-signal integrated circuitComputer scienceElectronicsAutomatic test equipmentIntegrated circuitEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

System-on-Chip (SoC) is one of the main driving forces that have been re-shaping the consumer electronics industry. The SoC alternative to conventional systems design is growing in popularity as the device packing densi escalates due to the evolution of semiconductor technology. Moreover, the decrease in semiconductor feature size is permitting the increase of clock frequencies and component operating speed. These advancements necessitate the integration of system components due to package parasitics and lengthy interconnect. Furthermore, SoC devices offer a cheaper and more compact solution to the consumer electronics industry.An integrated mixed-signal test core approach to SoC data acquisition is a valued alternate solution to many of the problems involving conventional test. One such test core data conversion architecture incorporates a sub-sampling algorithm known as the multipass method of digitization. This method occupies a very small silicon area in exchange for an increased data conversion time. Time-interleaved test core digitizers provide the capability to reduce test time, increase sampling frequency and increase signal bandwidth. As an implicit result of this compact circuit and multipass processing methodology, significant reductions in noise and spurious tones are observed.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.791

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.016
GPT teacher head0.229
Teacher spread0.213 · 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 designOther design
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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueSYNCHROINFO JOURNALSame topicVLSI and Analog Circuit TestingFrench-language works237,207