DocumentCode :
3634742
Title :
CUDA Accelerated LTL Model Checking
Author :
Jirí Barnat;Luboš Brim;Milan Ceška;Tomáš Lamr
Author_Institution :
Fac. of Inf., Masaryk Univ., Brno, Czech Republic
fYear :
2009
Firstpage :
34
Lastpage :
41
Abstract :
Recent technological developments made available various many-core hardware platforms. For example, a SIMD-like hardware architecture became easily accessible for many users who have their computers equipped with modern NVIDIA GPU cards with CUDA technology. In this paper we redesign the maximal accepting predecessors algorithm [7] for LTL model checking in terms of matrix-vector product in order to accelerate LTL model checking on many-core GPU platforms. Our experiments demonstrate that using the NVIDIA CUDA technology results in a significant speedup of verification process.
Keywords :
"Acceleration","Automata","Hardware","Parallel processing","Parallel algorithms","Concurrent computing","Pervasive computing","Informatics","Computer architecture","Power system modeling"
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2009 15th International Conference on
ISSN :
1521-9097
Print_ISBN :
978-1-4244-5788-5
Type :
conf
DOI :
10.1109/ICPADS.2009.50
Filename :
5395209
Link To Document :
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