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Record W2463658656 · doi:10.1109/jstqe.2016.2582345

Silicon-Photonics Microring Links for Datacenters—Challenges and Opportunities

2016· article· en· W2463658656 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Journal of Selected Topics in Quantum Electronics · 2016
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSilicon photonicsPhotonicsComputer scienceWavelength-division multiplexingEfficient energy useCMOSLink budgetMulti-mode optical fiberElectronic engineeringThroughputMultiplexingTransmitterOptoelectronicsChannel (broadcasting)Optical fiberMaterials scienceTelecommunicationsWavelengthElectrical engineeringEngineeringWireless

Abstract

fetched live from OpenAlex

The rapid growth of warehouse-scale datacenters demands high-throughput optical interconnects that can span short-to-medium reach distances (<; few kilometers). Microring-based silicon-photonics links with single-mode fibers are highly promising for these applications. This paper presents an analysis of microring-based links from the holistic perspective of optical devices, CMOS circuits, and system-level link budget and energy-efficiency simulations. Design considerations and tradeoffs for the receiver, transmitter, and the overall link are presented, and comparisons are made to the mainstream multimode vertical-cavity surface-emitting laser-based links with multi-mode fibers. Finally, research opportunities are highlighted for further improving the energy efficiency of single channel and wavelength division multiplexing-based silicon-photonics links.

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: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.603

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 integrity0.0000.001
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 head0.040
GPT teacher head0.254
Teacher spread0.214 · 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