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Record W2108211345 · doi:10.1049/iet-cdt.2008.0155

Skew compensation in energy recovery clock distribution networks

2009· article· en· W2108211345 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

VenueIET Computers & Digital Techniques · 2009
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsConcordia University
Fundersnot available
KeywordsClock skewDigital clock managerFLOPSClock domain crossingTiming failureSynchronous circuitClock signalSkewClock networkElectronic engineeringClock gatingComputer scienceCPU multiplierJitterEngineeringParallel computingTelecommunications

Abstract

fetched live from OpenAlex

In this study a new approach for skew compensation in energy recovery clock distribution networks is introduced by manipulating the operating speed of the flip-flops. The STMicroelectronics 90 nm technology allows the use of devices with different threshold voltages, namely: high threshold voltage (HVT), standard threshold voltage (SVT) and low threshold voltage (LVT). Three types of flip-flops of equal input load: ‘fast’, ‘standard’ and ‘slow’ are used. Timing parameters of the flip-flops are adjusted by manipulating the switching threshold of the clock port of the flip-flops. A fast/slow flip-flop has a shorter/longer TDQ delay, compared with a standard flip-flop for the same setup time (TDCLK). Distributing flip-flops according to their delay requirements would reduce the effect of the clock's skew on the outputs of sequentially adjacent flip-flops. Owing to the slow rise time of the sinusoidal clock signal used in energy recovery clock distribution networks compared to the conventional square-wave clock, the skew that can be compensated for in energy recovery clock distribution networks using this approach would be much higher than in square-wave clock distribution networks. This approach increases the skew bounds required by algorithms to balance the skew in the clock tree leading to reduced design complexity. Theoretical analysis and simulation results using STMicroelectronics 90 nm technology at a clock frequency of 500 MHz show that this approach is feasible and effective where a skew of up to 6.2% of the clock period can be compensated for in the example used. In addition, constructing clock trees using the skew slack provided in the proposed technique in a new modified differed merge embedding (DME) algorithm on five benchmarks have shown that the proposed technique enables an average reduction of 11.5% in total wire length and 53.2% reduction in the number of wire elongations. Balancing the skew in the clock tree using buffers was not considered here since inserting a buffer in the clock's path eliminates the energy recovery property. As an example of illustrating the proposed methodology, the authors have used the Elmore delay model with a selected energy recovery flip-flop to verify the practicality of the proposed scheme. Better results can be obtained by using different flip-flops. The method can generally be applied to energy recovery or square-wave clocking if different flip-flops of various speeds are used.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.004
GPT teacher head0.178
Teacher spread0.174 · 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