About: Scalable Parallel Generation of Very Large Sparse Benchmark Matrices

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://80.link.springer.com.dialog.cvut.cz/chapter/10.1007/978-3-642-55224-3_18
Description	We present a method and an accompanying algorithm for scalable parallel generation of sparse matrices intended primarily for benchmarking purposes, namely for evaluation of performance and scalability of generic massively parallel algorithms that involve sparse matrices. The proposed method is based on enlargement of small input matrices, which are supposed to be obtained from public sparse matrix collections containing numerous matrices arising in different application domains and thus having different structural and numerical properties. The resulting matrices are distributed among processors of a parallel computer system. The enlargement process is designed so its users may easily control structural and numerical properties of resulting matrices as well as the distribution of their nonzero elements to particular processors. We present a method and an accompanying algorithm for scalable parallel generation of sparse matrices intended primarily for benchmarking purposes, namely for evaluation of performance and scalability of generic massively parallel algorithms that involve sparse matrices. The proposed method is based on enlargement of small input matrices, which are supposed to be obtained from public sparse matrix collections containing numerous matrices arising in different application domains and thus having different structural and numerical properties. The resulting matrices are distributed among processors of a parallel computer system. The enlargement process is designed so its users may easily control structural and numerical properties of resulting matrices as well as the distribution of their nonzero elements to particular processors. (en)
Title	Scalable Parallel Generation of Very Large Sparse Benchmark Matrices Scalable Parallel Generation of Very Large Sparse Benchmark Matrices (en)
skos:prefLabel	Scalable Parallel Generation of Very Large Sparse Benchmark Matrices Scalable Parallel Generation of Very Large Sparse Benchmark Matrices (en)
skos:notation	RIV/68407700:21240/14:00217676!RIV15-GA0-21240___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP202/12/2011)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Langr, Daniel Šimeček, Ivan Tvrdík, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	43843
http://linked.open...ai/riv/idVysledku	RIV/68407700:21240/14:00217676
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	sparse matrix; benchmark matrix; enlargement; parallel algorithm; scalability (en)
http://linked.open.../riv/klicoveSlovo	benchmark matrix scalability sparse matrix parallel algorithm enlargement
http://linked.open...ontrolniKodProRIV	[0570793925F5]
http://linked.open...v/mistoKonaniAkce	Warsaw
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Parallel Processing and Applied Mathematics
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Parallel Input/Output Algorithms for Very Large Sparse Matrices
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Dytrych, T. Langr, Daniel Šimeček, Ivan Tvrdík, Pavel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000349159200018
http://linked.open.../riv/zahajeniAkce	2013-09-08 (xsd:date)
issn	0302-9743
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-55224-3_18
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-55224-3
http://localhost/t...ganizacniJednotka	21240

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