Abstract
While stateless model checking avoids the memory blow-up problem by not recording the search history, runtime becomes a major limiting factor. In this paper, we present distributed dynamic partial order reduction (DDPOR) which can speed up stateless model checking using computer clusters, and get the benefit of dynamic partial order reduction (DPOR). The experiments show that DDPOR can give out nearly linear (with respect to the number of CPUs) speedup on realistic multithreaded programs, comparing with sequential stateless model checking that uses DPOR.
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This work was supported in part by NSF award CNS00509379, Microsoft, and SRC Contract 2005-TJ-1318.
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Yang, Y., Chen, X., Gopalakrishnan, G. et al. Distributed dynamic partial order reduction. Int J Softw Tools Technol Transfer 12, 113–122 (2010). https://doi.org/10.1007/s10009-010-0144-z
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DOI: https://doi.org/10.1007/s10009-010-0144-z