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Description
  • We propose a parallel graph algorithm for detecting cycles in very large directed graphs distributed over a network of workstations. The algorithm employs back-level edges as computed by the breadth first search. In this paper we describe how to turn the algorithm into an explicit state distributed memory LTL model checker by extending it with detection of accepting cycles, counterexample generation and partial order reduction. We discuss these extensions and show experimental results.
  • We propose a parallel graph algorithm for detecting cycles in very large directed graphs distributed over a network of workstations. The algorithm employs back-level edges as computed by the breadth first search. In this paper we describe how to turn the algorithm into an explicit state distributed memory LTL model checker by extending it with detection of accepting cycles, counterexample generation and partial order reduction. We discuss these extensions and show experimental results. (en)
  • V článku je popsán paralelní a distribuovaný algoritmus pro detekci cyklu v rozsáhlých distribuovaných grafech. Algoritmus využívá tzv. back-level hrany, jež lze spočítat s využitím distribuovaného prohledávání grafu do šířky. Dále článek popisuje jak lze tento algoritmus upravit za účelem použití pro ověřování modelu LTL. Konkrétně je navrženo rozšíření algoritmu o detekci akceptujících cyklů, generování protipříkladů a redukci stavového prostoru s využitím redukce částečným uspořádáním. Článek také podává nezbytné experimentální vyhodnocení algoritmu. (cs)
Title
  • From Distributed Memory Cycle Detection to Parallel LTL Model Checking
  • Od distribuovane detekce cyklu k paralelnimu LTL overovani modelu (cs)
  • From Distributed Memory Cycle Detection to Parallel LTL Model Checking (en)
skos:prefLabel
  • From Distributed Memory Cycle Detection to Parallel LTL Model Checking
  • Od distribuovane detekce cyklu k paralelnimu LTL overovani modelu (cs)
  • From Distributed Memory Cycle Detection to Parallel LTL Model Checking (en)
skos:notation
  • RIV/00216224:14330/04:00010725!RIV08-MSM-14330___
http://linked.open.../vavai/riv/strany
  • 17-34
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/03/0509), Z(MSM 143300001)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 564936
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/04:00010725
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • LTL model checking; breadth first search; distributed memory (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A7CCC139A24C]
http://linked.open...v/mistoKonaniAkce
  • Linz, Austria
http://linked.open...i/riv/mistoVydani
  • Linz, Austria
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Ninth International Workshop on Formal Methods for Industrial Critical Systems (FMICS 2004)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Barnat, Jiří
  • Brim, Luboš
  • Chaloupka, Jakub
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Institute for Systems Engineering & Automation, Kepler university Linz
https://schema.org/isbn
  • 3-902457-03-1
http://localhost/t...ganizacniJednotka
  • 14330
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