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Analytical Modeling of Optimized Sparse Linear Code

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03097035" target="_blank" >RIV/68407700:21230/04:03097035 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analytical Modeling of Optimized Sparse Linear Code

  • Original language description

    In this paper, we describe source code transformations based on sw-pipelining, loop unrolling, and loop fusion for the sparse matrix-vector multiplication and for the Conjugate Gradient algorithm that enable data prefetching and overlapping of load and FPU arithmetic instructions and improve the temporal cache locality. We develop a probabilistic model for estimation of the numbers of cache misses for 3 types of data caches: direct mapped and s-way set associative with random and 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 97%. The errors in estimations are due to minor simplifying assumptions in our model.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • 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

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Parallel Processing and Applied Mathematics

  • ISBN

    3-540-21946-3

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    207-216

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Czestochowa

  • Event date

    Sep 7, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article