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Record W2113337910 · doi:10.1109/glocom.1993.318258

The closed loop bridged shuffle-exchange network: a high performance self-routing ATM switch

2002· article· en· W2113337910 on OpenAlexafffund
R. Zarour, Hussein T. Mouftah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsQueen's University
FundersGovernment of CanadaAustralian Government
KeywordsInterconnectionRouting (electronic design automation)Computer scienceSet (abstract data type)Computer networkIdeal (ethics)Multistage interconnection networksLimit (mathematics)Routing algorithmTopology (electrical circuits)Asynchronous Transfer ModeArchitectureBanyanThroughputRouting protocolMathematicsCombinatoricsTelecommunications

Abstract

fetched live from OpenAlex

The closed loop bridged shuffle-exchange network is a high-performance self-routing ATM switch architecture, based on a multistage interconnection network (MIN), built out of unbuffered 3/spl times/3 switching elements. The interconnection pattern is set up in such a way as to make use of the principal of error-prevention routing. It is basically an output queued architecture in which the number of cells that can be concurrently switched equals the number of its stages. The switch performance is studied under uniform traffic and full load conditions. The switch is shown to achieve high throughput and low cell loss probability using a number of stages of the order of logN, thus approaching the theoretical limit for an ideal MIN switch.>

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.202
Teacher spread0.184 · 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 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

Citations3
Published2002
Admission routes2
Has abstractyes

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