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8.4 A 116Gb/s DSP-Based Wireline Transceiver in 7nm CMOS Achieving 6pJ/b at 45dB Loss in PAM-4/Duo-PAM-4 and 52dB in PAM-2

2021· article· en· W3135215869 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
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsHuawei Technologies (Canada)
Fundersnot available
KeywordsSerDesTransceiverWirelineCMOSInsertion lossElectronic engineeringComputer scienceBackplaneElectrical engineeringComputer hardwareWirelessEngineeringTelecommunications

Abstract

fetched live from OpenAlex

DSP-based transceivers above 100Gb/s have demonstrated the ability to handle up to 38dB insertion loss (IL) with low-to-moderate crosstalk [1-2]. At same time, power scaling techniques [3] have closed the energy efficiency gap compared with analog/mixed-signal transceivers on shorter links. Notwithstanding advances in materials and connectors, in large repeater-less backplanes, transceivers are required to operate reliably at 100Gb/s with more than 40dB IL. Furthermore, next generation computing and AI applications require 50Gb/s rates per lane on channels with more than 45dB loss but without the latency of forward error correction (FEC). In this paper we demonstrate a reconfigurable ADC-DSP SerDes capable of operating with BER ≤1E-05 at 112Gb/s in PAM-4 or Duo-PAM-4 across a 45dB loss channel, and 58Gb/s PAM-2 at <; 1E-15 over a 52dB loss channel without FEC, while achieving a power efficiency better than 6pJ/b. The SerDes architecture is shown in Fig. 8.4.1 and features extensive power scaling capability.

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 categoriesMeta-epidemiology (narrow)
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 score0.272
Threshold uncertainty score1.000

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)0.0010.000

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 head0.008
GPT teacher head0.203
Teacher spread0.194 · 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

Citations75
Published2021
Admission routes1
Has abstractyes

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