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Record W2109087835 · doi:10.1109/iscas.2007.378046

Reconfigurable Clock Distribution Circuitry

2007· article· en· W2109087835 on OpenAlexaff
Atanu Chattopadhyay, Željko Žilić

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsMcGill University
Fundersnot available
KeywordsDigital clock managerClock skewClock domain crossingClock networkClock gatingCPU multiplierComputer scienceSynchronous circuitTiming failureFlexibility (engineering)Field-programmable gate arrayClock synchronizationSkewClock driftEmbedded systemElectronic engineeringComputer hardwareClock signalSynchronization (alternating current)EngineeringJitterTelecommunications

Abstract

fetched live from OpenAlex

We present the circuitry required for implementing a multi-clock reconfigurable, reprogrammable clock distribution network for integrated circuits using a reference-based scheme for skew compensation. In the scheme, a device is subdivided into multiple regions and a bi-directional clock distribution line is daisy-chained through the device, connecting each region in the domain. Switching structures that can be used to re-route the clock chain are added where needed. The proposed design simplifies layout for irregularly shaped clock domains and provides flexibility to designers by enabling post-fabrication changes to the clock distribution network. Reconfigurable clock distribution networks can be used in some ASICs, SoCs and FPGAs. The reference-based approach used is applicable to both single and multiple clock distributions

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0050.001

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 head0.006
GPT teacher head0.189
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2007
Admission routes1
Has abstractyes

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