Designing Fast LTL Model Checking Algorithms for Many-core GPUs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057210" target="_blank" >RIV/00216224:14330/12:00057210 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.jpdc.2011.10.015" target="_blank" >http://dx.doi.org/10.1016/j.jpdc.2011.10.015</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jpdc.2011.10.015" target="_blank" >10.1016/j.jpdc.2011.10.015</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Designing Fast LTL Model Checking Algorithms for Many-core GPUs

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Designing Fast LTL Model Checking Algorithms for Many-core GPUs

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Parallel and Distributed Computing

ISSN

0743-7315

e-ISSN

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Svazek periodika

72

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

1083-1097

Kód UT WoS článku

000307156000005

EID výsledku v databázi Scopus

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