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  • Recent technological developments made various many-core hardware platforms widely accessible. These massively parallel architectures have been used to significantly accelerate many computation demanding tasks. In this paper we show how the algorithms for LTL model checking can be redesigned in order to accelerate LTL model checking on many-core GPU platforms. Our detailed experimental evaluation demonstrates that using the NVIDIA CUDA technology results in a significant speedup of the verification process. Together with state space generation based on shared hash-table and DFS exploration, our CUDA accelerated model checker is the fastest among state-of-the-art shared memory model checking tools. The effective utilisation of CUDA technology, however, is quite often reduced by the costly preparation of suitable data structures and limited to small or middle-sized instances due to space limitations, which is also the case of our CUDA-aware LTL Model Checking solutions.
  • Recent technological developments made various many-core hardware platforms widely accessible. These massively parallel architectures have been used to significantly accelerate many computation demanding tasks. In this paper we show how the algorithms for LTL model checking can be redesigned in order to accelerate LTL model checking on many-core GPU platforms. Our detailed experimental evaluation demonstrates that using the NVIDIA CUDA technology results in a significant speedup of the verification process. Together with state space generation based on shared hash-table and DFS exploration, our CUDA accelerated model checker is the fastest among state-of-the-art shared memory model checking tools. The effective utilisation of CUDA technology, however, is quite often reduced by the costly preparation of suitable data structures and limited to small or middle-sized instances due to space limitations, which is also the case of our CUDA-aware LTL Model Checking solutions. (en)
Title
  • Designing Fast LTL Model Checking Algorithms for Many-core GPUs
  • Designing Fast LTL Model Checking Algorithms for Many-core GPUs (en)
skos:prefLabel
  • Designing Fast LTL Model Checking Algorithms for Many-core GPUs
  • Designing Fast LTL Model Checking Algorithms for Many-core GPUs (en)
skos:notation
  • RIV/00216224:14330/12:00057210!RIV13-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/09/1389), P(GAP202/11/0312), P(GD102/09/H042), P(GP201/09/P497), S, Z(MSM0021622419)
http://linked.open...iv/cisloPeriodika
  • 9
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 130382
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00057210
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Parallel model checking; Linear temporal logic; Massively parallel architectures; CUDA technology; Multiple CUDA devices (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [C983D0F0BF26]
http://linked.open...i/riv/nazevZdroje
  • Journal of Parallel and Distributed Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 72
http://linked.open...iv/tvurceVysledku
  • Barnat, Jiří
  • Bauch, Petr
  • Brim, Luboš
  • Češka, Milan
http://linked.open...ain/vavai/riv/wos
  • 000307156000005
http://linked.open...n/vavai/riv/zamer
issn
  • 0743-7315
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.jpdc.2011.10.015
http://localhost/t...ganizacniJednotka
  • 14330
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