Detailed Information on Publication Record
2008
Improved Distributed Algorithms for SCC Decomposition
BARNAT, Jiří, Jakub CHALOUPKA and Jaco VAN DE POLBasic information
Original name
Improved Distributed Algorithms for SCC Decomposition
Name in Czech
Vylepšené algoritmy pro distribuovanou dekompozici grafu na silně souvislé komponenty
Authors
BARNAT, Jiří (203 Czech Republic, guarantor), Jakub CHALOUPKA (203 Czech Republic) and Jaco VAN DE POL (528 Netherlands)
Edition
Electronic Notes in Theoretical Computer Science, Elsevier, 2008, 1571-0661
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14330/08:00024165
Organization unit
Faculty of Informatics
Keywords in English
SCC decomposition; parallel; distributed; OBF
Tags
Tags
International impact, Reviewed
Změněno: 6/3/2008 09:48, prof. RNDr. Jiří Barnat, Ph.D.
V originále
We study and improve the OBF technique, which was used in distributed algorithms for the decomposition of a partitioned graph into its strongly connected components. In particular, we introduce a recursive variant of OBF and experimentally evaluate several different implementations of it that vary in the degree of parallelism. For the evaluation we used synthetic graphs with a few large components and graphs with many small components. We also experimented with graphs that arise as state spaces in real model checking applications. The experimental results are compared with that of other successful SCC decomposition techniques.
In Czech
Článek popisuje vylepšení techniky OBF, která se používá pro paralelní a distribuovanou detekci silně souvislých komponent v grafu. Je představena rekurzivní varianta OBF a několik možných způsobů implementace. Nové přístupy jsou vyhodnoceny jak nad syntetickými grafy, tak i nad grafy reálných systémů. Naměřené hodnoty jsou porovnány s ostatními přístupy pro paralelní dekompozici grafu na silně souvislé komponenty.
Links
GA201/06/1338, research and development project |
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MSM0021622419, plan (intention) |
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1ET408050503, research and development project |
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1M0545, research and development project |
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