Efficient explicit-state model checking on general purpose graphics processors
SPIN'10 Proceedings of the 17th international SPIN conference on Model checking software
External memory breadth-first search with delayed duplicate detection on the GPU
MoChArt'10 Proceedings of the 6th international conference on Model checking and artificial intelligence
On the correctness of the SIMT execution model of GPUs
ESOP'12 Proceedings of the 21st European conference on Programming Languages and Systems
Designing fast LTL model checking algorithms for many-core GPUs
Journal of Parallel and Distributed Computing
On parallel software verification using boolean equation systems
SPIN'12 Proceedings of the 19th international conference on Model Checking Software
Improving GPU sparse matrix-vector multiplication for probabilistic model checking
SPIN'12 Proceedings of the 19th international conference on Model Checking Software
Action-based discovery of satisfying subsets: A distributed method for model correction
Information and Software Technology
Editorial: Recent developments in high performance computing and security: An editorial
Future Generation Computer Systems
Distributed explicit state model checking of deadlock freedom
CAV'13 Proceedings of the 25th international conference on Computer Aided Verification
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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.