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Record W2167843626 · doi:10.1109/ccece.2004.1345297

Design and implementation of enhanced crossbar CIOQ switch architecture

2004· article· en· W2167843626 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCrossbar switchSpeedupComputer scienceVery-large-scale integrationScheduling (production processes)Queueing theoryThroughputArchitectureParallel computingStandard cellEmbedded systemComputer architectureIntegrated circuitComputer networkWirelessEngineeringOperating systemTelecommunications

Abstract

fetched live from OpenAlex

Currently, combined input output queued (CIOQ) switches are being considered for high performance switch architectures. This is due to their ability to achieve high throughput and emulate output queued switch performance with a small speedup factor of 4 or 5. The paper presents the design and VLSI implementation of a 16/spl times/16 cell based CIOQ switch with enhanced crossbars to provide a speedup of 4 while operating the switch fabric at the line rate and memories at half the line rate. We describe the implementation of this architecture in VLSI using 0.18 micron CMOS standard-cell technology. We report on the design complexity and discuss implementation results. This architecture can handle a line rate of 622 Mbps. The distributed cell scheduling and cell queueing and dequeueing allows this architecture to be scaled to a large number of inputs and outputs.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.175

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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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

Quick stats

Citations7
Published2004
Admission routes1
Has abstractyes

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