MétaCan
Menu
Back to cohort
Record W1883773588 · doi:10.1109/iwsoc.2004.58

SERDES technology for gigabit I/O communications in storage area networking

2004· article· en· W1883773588 on OpenAlex
K. Iniewski, R. Badalone, M. A. LaPointe, M. Syrzycki

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 institutionsSimon Fraser UniversityUniversity of Alberta
Fundersnot available
KeywordsSerDesBackplaneGigabitComputer scienceTransceiverEmbedded systemEngineeringTelecommunicationsComputer hardwareWireless

Abstract

fetched live from OpenAlex

The paper reviews SERDES technology for storage area networking. A concept of a data switch is introduced to illustrate important role played by switching and backplane SERDES IC’s. Selected state-of-the-art devices: 10 Gb/s line side SERDES and backplane drivers are discussed in detail. Particular emphasis is placed on challenges associated with design of high-speed mixed-signal circuitry. 1. Fiber Channel for Data Storage Fibre Channel (FC) is a gigabit networking technology originally designed for high-speed local area networking. It is a serial, full-duplex, asynchronous communication protocol operating at the rates of 1 and 2 Gb/s. Next generation devices operating at 4 and 10 Gb/s are starting

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.258

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 science0.0010.000
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 head0.043
GPT teacher head0.281
Teacher spread0.237 · 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

Citations4
Published2004
Admission routes1
Has abstractyes

Explore more

Same topicInterconnection Networks and SystemsFrench-language works237,207