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Analytical Modelling of Linear Codes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F06%3A03114521" target="_blank" >RIV/68407700:21110/06:03114521 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analytical Modelling of Linear Codes

  • Original language description

    In this paper, we describe a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrices) and the Conjugate Gradient algorithm for 3 types of data caches: direct mapped, s-way set associative with random or with LRU replacement strategies. Using HW cache monitoring tools, we compare the predicted number of cache misses with real numbers on Intel x86 architecture with L1 and L2 caches. The accuracy of our analytical model is around 96%.

  • Czech name

    Analytické modely lineárních kódů

  • Czech description

    Tato zpráva popisuje pravděpodobnostní modely pro chování skrytých pamětí během násobení řídké matice vektorem (pro obecné a symetrické matice) a metodu sdružených gradientů. Modely jsou odvozeny pro 3 základní typy datových cache pamětí.

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/IBS3086102" target="_blank" >IBS3086102: Parallel Algorithms for Large Scale Simulation on PC Clusters</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2006

  • Confidentiality

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

Data specific for result type

  • ISBN

    80-01-03439-9

  • Place of publication

    Praha

  • Publisher/client name

  • Version

  • Carrier ID

    neuvedeno