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Record W2737902658 · doi:10.1109/tvlsi.2017.2724600

Time-Domain Arithmetic Logic Unit With Built-In Interconnect

2017· article· en· W2737902658 on OpenAlexaff
Fnu Aurangozeb, AKM Delwar Hossain, Can Ni, Quazi Sharar, Masum Hossain

Bibliographic record

VenueIEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceArithmetic logic unitCMOSComputationEncoderElectronic engineeringTime domainLogic gateComputer hardwareAlgorithmEngineering

Abstract

fetched live from OpenAlex

This paper describes a low-power 1-GHz 4-bit time-domain arithmetic logic unit (ALU) targeting hardware accelerator. This ALU relies on the time-domain computation based on digital-to-time converter, digitally controlled oscillator, time-to-digital converter, and successive approximation register analog-to-digital converter. The interconnect bandwidth limitation addressed by the time-domain and voltage-domain encoding to improve the spectrum efficiency by 8×. Encoder and decoders are part of the computation, and that results in 1GHz operational speed in 65-nm CMOS consuming 17.75 mW only. Compared to the conventional approach, the proposed time-domain computation achieves significantly lower power and latency for similar area and resolution.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.851
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 communication0.0000.001
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 head0.017
GPT teacher head0.252
Teacher spread0.234 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations10
Published2017
Admission routes1
Has abstractyes

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