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Record W2125514963 · doi:10.5555/2016802.2016844

Design and analysis of metastable-hardened flip-flops in sub-threshold region

2011· article· en· W2125514963 on OpenAlex
David Li, Pierce Chuang, David Nairn, Manoj Sachdev

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.

Bibliographic record

VenueInternational Symposium on Low Power Electronics and Design · 2011
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMetastabilityFLOPSSpiceTransconductanceFlip-flopInverterElectronic engineeringThreshold voltageAsynchronous communicationPower (physics)Reduction (mathematics)TransistorComputer scienceVoltageCMOSTopology (electrical circuits)Electrical engineeringEngineeringPhysicsMathematicsParallel computingTelecommunications

Abstract

fetched live from OpenAlex

Flip-flop metastability is becoming an important consideration for designing reliable synchronous and asynchronous systems, especially in the sub-threshold region where it degrades exponentially with the reduction in supply voltage. In this paper, detailed analysis is given on the design of metastable-hardened flip-flops in the sub-threshold region. Proper transistor sizing using either transconductance or load variation along with implementing the inverter pair in the flip-flop master-stage with low-V th can result in significant reduction in the time-resolving constant τ. Extensive simulation results have shown that the optimum metastability-power-delay-product (MPDP) design allows the flip-flops to improve its metastability with a more balanced design tradeoff between performance and power consumption.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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