MétaCan
Menu
Back to cohort
Record W2180318942 · doi:10.1117/12.386799

<title>256-channel bidirectional optical interconnect using VCSELs and photodiodes on CMOS</title>

2000· article· en· W2180318942 on OpenAlexaff
David V. Plant, J. A. Trezza, Michael B. Venditti, Emmanuelle Laprise, J. Faucher, K.E. Razavi, Marc Châteauneuf, Andrew G. Kirk, Wenbin Luo

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhotodiodeCMOSVery-large-scale integrationOptoelectronicsOptical interconnectVertical-cavity surface-emitting laserTransceiverMaterials scienceElectronic circuitInterconnectionLaserChipComputer scienceElectronic engineeringElectrical engineeringOpticsPhysicsTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

2D Parallel Optical Interconnects are capable of providing large connectivity between elements in computing and switching systems. Using this technology we have demonstrated a bi-directional optical interconnect between two PCBs containing optoelectronic VLSI circuits. The OE- VLSI circuits were constructed using VCSELs and photodiodes flip-chip bump bonded to a 0.35 micrometers CMOS chip. The CMOS was comprised of 256 Vertical Cavity Surface Emitting Laser (VCSEL) drivers, 256 receivers, and the requisite buffer and control circuits required to operate the large transceiver array. This is the first system, to our knowledge, to send bi-directional data optically between optoelectronic VLSI chips which have both VCSELs and photodiodes co-integrated on the same substrate.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.222
Teacher spread0.208 · 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 designBench or experimental
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

Citations5
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicSemiconductor Lasers and Optical DevicesFrench-language works237,207