MétaCan
Menu
Back to cohort

Design of a novel high-performance reduced clock-swing pre-discharge flip-flop

2009· article· en· W134601958 on OpenAlexaff
David Li, Pierce Chuang, Jaspal Singh Shah, Manoj Sachdev

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSwingFlip-flopFLOPSCMOSReduction (mathematics)Computer scienceElectronic engineeringDissipationPower (physics)TransistorClock networkElectronic circuitElectrical engineeringClock signalParallel computingEngineeringClock skewVoltageMathematicsPhysics

Abstract

fetched live from OpenAlex

Reduced clock-swing flip-flops are very attractive in high-performance deep-pipelined systems since significant power reduction can be achieved with minimal performance degradation. In this paper, a new reduced clock-swing pre-discharge flip-flop (RCSPDFF) is proposed. The performance advantage of RCSPDFF comes from the fact that its critical path is reduced significantly to only four transistors in the worst case. A detailed comparison is carried out between the proposed RCSPDFF and previous published reduced clock swing flip-flops. Simulation results in the 65nm CMOS technology have shown that RCSPDFF is able to achieve much better performance with similar power dissipation than the previous proposed flip-flops, and thus resulting in a greater overall PDP reduction.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.212
Teacher spread0.197 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicLow-power high-performance VLSI designFrench-language works237,207