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Record W2127532366 · doi:10.1109/dasc.2006.9

A Parallel GNFS Integrated with the Block Wiedemann's Algorithm for Integer Factorization

2006· article· en· W2127532366 on OpenAlexaff
Na Guo, Laurence T. Yang, Man Lin, John F. Quinn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCoding theory and cryptography
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsInteger factorizationAlgorithmComputer scienceFactorizationCryptosystemBlock (permutation group theory)Integer (computer science)Field (mathematics)Parallel computingMathematicsPublic-key cryptographyCryptographyEncryptionCombinatorics

Abstract

fetched live from OpenAlex

RSA is a very popular public-key based cryptosystem. The security of RSA is relied on the difficulty of large integer factorization. The general number field sieve (GNFS) is an algorithm for factoring very large numbers, especially for integers over 110 digits. It is the asymptotically fastest known factoring algorithm. In this paper, we have successfully implemented the parallel general number field sieve (GNFS) algorithm and integrated with a new method called block Wiedemann's algorithm to solve the large and sparse linear system over GF(2) generated by the GNFS algorithm. The detailed parallel experimental results on a SUN cluster will be presented as well

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 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 score0.777
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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.

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

Citations0
Published2006
Admission routes1
Has abstractyes

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