Efficient Probabilistic Model Checking on General Purpose Graphics Processors
Proceedings of the 16th International SPIN Workshop on Model Checking Software
Embedded network protocols for mobile devices
FMICS'10 Proceedings of the 15th international conference on Formal methods for industrial critical systems
Efficient explicit-state model checking on general purpose graphics processors
SPIN'10 Proceedings of the 17th international SPIN conference on Model checking software
HipG: parallel processing of large-scale graphs
ACM SIGOPS Operating Systems Review
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
Using Model Checking to Analyze the System Behavior of the LHC Production Grid
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Evaluation of a simple, scalable, parallel best-first search strategy
Artificial Intelligence
Large-scale Distributed Verification Using CADP: Beyond Clusters to Grids
Electronic Notes in Theoretical Computer Science (ENTCS)
Using model checking to analyze the system behavior of the LHC production grid
Future Generation Computer Systems
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Model checking is a popular technique to systematically and automatically verify system properties. Unfortunately, the well-known state explosion problem often limits the extent to which it can be applied to realistic specifications, due to the huge resulting memory requirements. Distributed-memory model checkers exist, but have thus far only been evaluated on small-scale clusters, with mixed results. We examine one well-known distributed model checker, DiVinE, in detail, and show how a number of additional optimizations in its runtime system enable it to efficiently check very demanding problem instances on a large-scale, multi-core compute cluster. We analyze the impact of the distributed algorithms employed, the problem instance characteristics and network overhead. Finally, we show that the model checker can even obtain good performance in a high-bandwidth computational grid environment.