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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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
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e-ISSN
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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
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