MétaCan
Menu
Back to cohort
Record W4403561333 · doi:10.1016/j.vlsi.2024.102300

VLFF — A very low-power flip-flop with only two clock transistors

2024· article· en· W4403561333 on OpenAlex

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

VenueIntegration · 2024
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFlip-flopTransistorPower (physics)FlipElectrical engineeringComputer scienceEngineeringPhysicsCMOSVoltage

Abstract

fetched live from OpenAlex

Flip-flops (FFs) are an essential component of digital circuits, yet they use a lot of power and energy. This paper introduces the VLFF, an extremely low-power flip-flop that operates with just two single-phase clock transistors. The extracted simulation results show that VLFF is the most power-efficient FF amongst all examined FFs for the data activity (DA) range of 0% to 45%. Test-chip measurement results for the test-chip designed in TSMC CMOS 65 nm gp PDK demonstrate that at VDD = 1 V, power consumption is reduced by 63% and 16% with 12.5% DA, and 52% and 6% with 25% DA in comparison to TGFF and 18TSPC, respectively. • This paper proposed a very low-power flip-flop with only two single-phase clock transistors. • Proposed flip-flop is the most power-efficient amongst all considered. state-of-the-art flip-flops for data activities in the range of 0 – 45%. • Test-chip implemented in TSMC 65nm GP PDK validates the power savings of the proposed flip-flop over 18TSPC, and TGFF.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.852
Threshold uncertainty score0.497

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 head0.005
GPT teacher head0.198
Teacher spread0.192 · 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