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Impact of Optimization and Parallelism on Factorization Speed of SIQS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121568" target="_blank" >RIV/00216305:26230/16:PU121568 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.iiisci.org/Journal/CV$/sci/pdfs/SA559BN16.pdf" target="_blank" >http://www.iiisci.org/Journal/CV$/sci/pdfs/SA559BN16.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Impact of Optimization and Parallelism on Factorization Speed of SIQS

  • Original language description

    This paper examines optimization possibilities of Self-Initialization Quadratic Sieve (SIQS), which is enhanced version of Quadratic Sieve factorization method.SIQS is considered the second fastest factorization method at all and the fastest one for numbers shorter than 100 decimal digits, respectively.Although, SIQS is the fastest method up to 100 decimal digits, it cannot be effectively utilized to work in polynomial time.Therefore, it is desirable to look for options how to speed up the method as much as possible.Two feasible ways of achieving it are code optimization and parallelism.Both of them are utilized in this paper.The goal of this paper is to show how it is possible to take advantage of parallelism in SIQS as well as reach a large speed-up thanks to detailed source code analysis with optimization.Our implementation process consists of two phases.In the first phase, the complete algorithm is implemented in the simplest way which does not consider any requirements for execution speed.The solution from the first phase serves as the reference implementation for further experiments.An improvement of factorization speed is performed in the second phase of the SIQS implementation, where we use the method of iterative modifications in order to examine contribution of each proposed step.The final optimized version of the SIQS implementation has achieved over 200x speed-up.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of The 20th World Multi-Conference on Systemics, Cybernetics and Informatics

  • ISBN

    978-1-941763-41-4

  • ISSN

    1690-4524

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    51-58

  • Publisher name

    The International Institute of Informatics and Systemics

  • Place of publication

    Orlando

  • Event location

    USA, Orlando

  • Event date

    Jul 5, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article