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Record W1950098525 · doi:10.1109/async.2005.20

Energy Efficient Surfing

2005· article· en· W1950098525 on OpenAlexaff
Suwen Yang, Brian Winters, Mark R. Greenstreet

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLow-power high-performance VLSI design
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer scienceOverhead (engineering)Pipeline (software)AdderChipEnergy consumptionEnergy (signal processing)Embedded systemRing (chemistry)Electronic circuitMetric (unit)ComputationDominoLogic gateParallel computingElectrical engineeringAlgorithmEngineeringOperating systemTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

Surfing is a latchless pipelining technique where the propagation delays of gates and other logic functions are modulated to produce event attractors. We describe a test chip that demonstrates a surfing pipeline ring and then introduce new circuits that dramatically reduce the energy overhead for surfing. Our test chip implements a twelve-stage, surfing ring that supports two independent waves of computation without latches or other storage elements. We have operated the chip for over 48 hours and more than 2.6/spl times/10/sup 15/ surfing events without an error. However, the energy consumption of the ring is unacceptable for scaling to larger applications. Thus, we introduce a new family of surfing circuits that use less energy than their domino counterparts and provide a factor of up to 1.75 improvement by the Et/sup 2/ metric. We demonstrate this new family with the design of a carry lookahead adder.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.654

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)0.0000.001

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 head0.004
GPT teacher head0.165
Teacher spread0.160 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations13
Published2005
Admission routes1
Has abstractyes

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