DocumentCode
3634742
Title
CUDA Accelerated LTL Model Checking
Author
Jirí Barnat;Lubo Brim;Milan Ceka;Tomá 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