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Record W2110711133 · doi:10.1109/tc.2005.35

A class of unidirectional bit serial systolic architectures for multiplicative inversion and division over GF(2/sup m/)

2005· article· en· W2110711133 on OpenAlexafffund
A.K. Daneshbeh, M.A. Hasan

Bibliographic record

VenueIEEE Transactions on Computers · 2005
Typearticle
Languageen
FieldComputer Science
TopicCoding theory and cryptography
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFinite fieldMathematicsMultiplicative inverseGF(2)Division (mathematics)CryptographyMultiplicative functionDiscrete mathematicsGalois theoryDimension (graph theory)PolynomialFinite field arithmeticArithmeticPolynomial basisInversion (geology)Primitive polynomialInverseAlgorithmCombinatoricsMathematical analysis

Abstract

fetched live from OpenAlex

A class of universal unidirectional bit serial systolic architectures for multiplicative inversion and division over Galois field GF(2/sup m/) is presented. The field elements are represented with polynomial (standard) basis. These systolic architectures have no carry propagation structures and are suitable for hardware implementations where the dimension of the field is large and may vary. This is the typical case for cryptographic applications. These architectures are independent of any defining irreducible polynomial of a given degree as well. The time complexity is constant and area complexity is linear (w.r.t. field dimension) and these measures are equivalent to or exceed similar proposed designs.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.009

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 communication0.0010.001
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 head0.012
GPT teacher head0.236
Teacher spread0.225 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations35
Published2005
Admission routes2
Has abstractyes

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