Space-efficient sparse matrix storage formats for massively parallel systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F12%3A00193783" target="_blank" >RIV/68407700:21240/12:00193783 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/HPCC.2012.18" target="_blank" >http://dx.doi.org/10.1109/HPCC.2012.18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HPCC.2012.18" target="_blank" >10.1109/HPCC.2012.18</a>
Alternative languages
Result language
angličtina
Original language name
Space-efficient sparse matrix storage formats for massively parallel systems
Original language description
In this paper, we propose and evaluate new storage formats for sparse matrices that minimize the space complexity of information about matrix structure. The motivation of our work are applications with very large sparse matrices that due to their size must be processed on massively parallel computer systems consisting of tens or hundreds of thousands of processor cores and that must be stored in a distributed file system using parallel I/O. The parallel I/O is typically the main performance bottleneck and reading or writing such matrices from/to distributed file system can take significant amount of time. We try to reduce this time by reducing the amount of data to be processed.
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
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
HPCC 2012: IEEE 14th International Conference on High Performance Computing and Communications
ISBN
978-0-7695-4749-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
54-60
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Liverpool
Event date
Jun 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000310377500008