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Parallel Data Acquisition for Visualization of Very Large Sparse Matrices

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F14%3A00213670" target="_blank" >RIV/68407700:21240/14:00213670 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SYNASC.2013.51" target="_blank" >http://dx.doi.org/10.1109/SYNASC.2013.51</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SYNASC.2013.51" target="_blank" >10.1109/SYNASC.2013.51</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parallel Data Acquisition for Visualization of Very Large Sparse Matrices

  • Original language description

    The problem of visualization of very large sparse matrices emerging on massively parallel computer systems is identified and a new method along with an accompanying algorithm for parallel acquisition of visualization data for such matrices are presented.The proposed method is based on downsampling a matrix into blocks for which the desired visualization data are saved into a file. This file is then supposed to be downloaded and processed into a final image on a personal computer. Experimental results for the evaluation of the performance and scalability of the proposed algorithm are further provided and discussed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F12%2F2011" target="_blank" >GAP202/12/2011: Parallel Input/Output Algorithms for Very Large Sparse Matrices</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

  • ISBN

    978-1-4799-3035-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    336-343

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos

  • Event location

    Temešvár

  • Event date

    Sep 23, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article