Large-Scale Visualization of 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%3A00217664" target="_blank" >RIV/68407700:21240/14:00217664 - isvavai.cz</a>
Result on the web
<a href="http://www.scpe.org/index.php/scpe/article/view/963" target="_blank" >http://www.scpe.org/index.php/scpe/article/view/963</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12694/scpe.v15i1.963" target="_blank" >10.12694/scpe.v15i1.963</a>
Alternative languages
Result language
angličtina
Original language name
Large-Scale Visualization of Sparse Matrices
Original language description
An efficient algorithm for parallel acquisition of visualization data for large sparse matrices is presented and evaluated both analytically and empirically. The algorithm was designed to be application-independent, i.e., it works with any matrix-processors mapping and with any sparse storage format/scheme. The empirical scalability study of the algorithm was carried on using multiple modern HPC systems. In our largest experiment, we utilized 262,144 processors for 73 seconds to gather and store to a file the visualization data for a matrix with 1.17x10^13 nonzero elements. Using the proposed algorithm, one can thus visualize large sparse matrices with a minimal runtime overhead imposed on executed HPC codes.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scalable Computing: Practice and Experience
ISSN
1895-1767
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
RO - ROMANIA
Number of pages
11
Pages from-to
21-31
UT code for WoS article
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EID of the result in the Scopus database
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