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Record W1583165772 · doi:10.1109/icm.2004.1434710

VLSI implementation of a floating-point divider

2005· article· en· W1583165772 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
FieldComputer Science
TopicNumerical Methods and Algorithms
Canadian institutionsWestern University
Fundersnot available
KeywordsVery-large-scale integrationComputer scienceAdderCMOSFrequency dividerTransistor countComputer hardwareTransistorElectronic engineeringArithmeticEmbedded systemElectrical engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

In this paper, we present the VLSI implementation of a low power floating-point divider in CMOS 0.18 /spl mu/m technology using radix-2 over redundant number system. This divider implementation is well suited for IEEE 754 floating point standard and can be widely used in DSP applications. In the proposed divider designs, different PPM adders, based on 24, 22 and new 16-transistor circuits are used to implement the carry-free addition/subtraction unit. Different designs of quotient selection logic and reducing unit are also presented. Then, these designs are compared for power dissipation, time delay, and area. Our new design of a 4-bit divider has 9% less EDP and 17% less area than previous work.

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.971
Threshold uncertainty score0.219

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)0.0000.000

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 head0.018
GPT teacher head0.336
Teacher spread0.319 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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